In this paper we have perform the political fact checking and fake news detection using various technologies such as Python libraries , Anaconda , and algorithm such as Naïve Bayes, we present an analytical study on the language of news media. To find linguistic features of untrustworthy text, we compare the language of real news with that of satire, hoaxes, and propaganda. We are also presenting a case study based on PolitiFact.com using their factuality judgments on a 6 point scale to prove the feasibility of automatic political fact checking. Experiments show that while media fact checking remains an open research issue, stylistic indications can help determine the veracity of the text. Chandni Jain | S. Vignesh ""Era of Sociology News Rumors News Detection using Machine Learning"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23534.pdf
Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/23534/era-of-sociology-news-rumors-news-detection-using-machine-learning/chandni-jain
FAKE NEWS DETECTION WITH SEMANTIC FEATURES AND TEXT MININGijnlc
Nearly 70% of people are concerned about the propagation of fake news. This paper aims to detect fake news in online articles through the use of semantic features and various machine learning techniques. In this research, we investigated recurrent neural networks vs. the naive bayes classifier and random forest classifiers using five groups of linguistic features. Evaluated with real or fake dataset from kaggle.com, the best performing model achieved an accuracy of 95.66% using bigram features with the random forest classifier. The fact that bigrams outperform unigrams, trigrams, and quadgrams show that word pairs as opposed to single words or phrases best indicate the authenticity of news.
In the age of social media communication, it is easy to
modulate the minds of users and also instigate violent
actions being taken by them in some cases. There is a need
to have a system that can analyze the threat level of tweets
from influential users and rank their Twitter handles so
that dangerous tweets can be avoided going public on
Twitter before fact-checking which can hurt the sentiments
of people and can take the shape of violence. The study
aims to analyse and rank twitter users according to their
influential power and extremism of their tweets to help
prevent major protests and violent events. We scraped top
trending topics and fetched tweets using those hashtags.
We propose a custom ranking algorithm which considers
source based and content based features along with a
knowledge graph which generates the score and rank the
twitter users according to the scores. Our aim with this
study is to identify and rank extremist twitter users with
regards to their impact and influence. We use a technique
that takes into consideration both source based and
content-based features of tweets to generate the ranking of
the extremist twitter users having a high impact factor
Detailed Research on Fake News: Opportunities, Challenges and MethodsMilap Bhanderi
This paper is submitted at Dalhousie University for Technology Innovation course as a deliverable. This paper focuses on the opportunities, challenges and methods for Fake news.
Across 18-19 April 2017, the UK Parliament’s Culture, Media and Sport Committee published the 79 written submissions to its Fake News Inquiry. These submissions show us that we need to devote much more attention to addressing emotive, targeted deception by professional persuaders and the Public Relations (PR) industry, and that this issue may merit its own parliamentary inquiry into Deception in Political Campaigning. I discuss this in relation to two deceptive, emotive political campaigns from 2016 - the US presidential election and the UK's referendum on Brexit.
Chung-Jui LAI - Polarization of Political Opinion by News MediaREVULN
In 2016 US election, social media played a vital role in shaping public opinions as expressed by the news media that have created the phenomenon of polarization in the United States. Because social media gave people the ability to follow, share, post, comment below everything, the phenomenon of political opinions being spread easily and quickly on social media by the news agencies is bringing out a significantly polarized populace.
Consequently, it’s very important to understand the language differences on Twitter and figure out how propaganda spread by different political parties that influence or perhaps mislead public opinion. This talk will introduce the relationship among the social media, public opinion, and news media, then suggests the method to collect the tweets from Twitter and conduct sentimental and logistic regression analysis on them. Furthermore, this talk points out the special aspect on the relationship between the polarization and the topic of this conference (fake news, disinformation and propaganda).
Main points:
- situation in Taiwan
- research on fake news
- methods for fighting fake news
El Estudio Data Journalism in 2017 aborda cómo los periodistas usan los datos para contar historias.
El análisis ofrece una visión general del estado del periodismo de datos en 2017 y destaca los retos clave para que el campo avance.
Algunas conclusiones:
- El 42% de los periodistas emplean los datos para contar historias de manera regular (dos veces o más por semana).
- El 51% de los medios de comunicación en Estados Unidos y Europa tienen en las redacciones al menos un periodista especializadp a los datos (periodista de datos). Este porcentaje se eleva al 60% para los medios digitales.
- El 33% de los periodistas usan datos para historias políticas, seguidos por 28% para finanzas y economía y 25% por historias enmarcadas en el periodismo de investigación.
FAKE NEWS DETECTION WITH SEMANTIC FEATURES AND TEXT MININGijnlc
Nearly 70% of people are concerned about the propagation of fake news. This paper aims to detect fake news in online articles through the use of semantic features and various machine learning techniques. In this research, we investigated recurrent neural networks vs. the naive bayes classifier and random forest classifiers using five groups of linguistic features. Evaluated with real or fake dataset from kaggle.com, the best performing model achieved an accuracy of 95.66% using bigram features with the random forest classifier. The fact that bigrams outperform unigrams, trigrams, and quadgrams show that word pairs as opposed to single words or phrases best indicate the authenticity of news.
In the age of social media communication, it is easy to
modulate the minds of users and also instigate violent
actions being taken by them in some cases. There is a need
to have a system that can analyze the threat level of tweets
from influential users and rank their Twitter handles so
that dangerous tweets can be avoided going public on
Twitter before fact-checking which can hurt the sentiments
of people and can take the shape of violence. The study
aims to analyse and rank twitter users according to their
influential power and extremism of their tweets to help
prevent major protests and violent events. We scraped top
trending topics and fetched tweets using those hashtags.
We propose a custom ranking algorithm which considers
source based and content based features along with a
knowledge graph which generates the score and rank the
twitter users according to the scores. Our aim with this
study is to identify and rank extremist twitter users with
regards to their impact and influence. We use a technique
that takes into consideration both source based and
content-based features of tweets to generate the ranking of
the extremist twitter users having a high impact factor
Detailed Research on Fake News: Opportunities, Challenges and MethodsMilap Bhanderi
This paper is submitted at Dalhousie University for Technology Innovation course as a deliverable. This paper focuses on the opportunities, challenges and methods for Fake news.
Across 18-19 April 2017, the UK Parliament’s Culture, Media and Sport Committee published the 79 written submissions to its Fake News Inquiry. These submissions show us that we need to devote much more attention to addressing emotive, targeted deception by professional persuaders and the Public Relations (PR) industry, and that this issue may merit its own parliamentary inquiry into Deception in Political Campaigning. I discuss this in relation to two deceptive, emotive political campaigns from 2016 - the US presidential election and the UK's referendum on Brexit.
Chung-Jui LAI - Polarization of Political Opinion by News MediaREVULN
In 2016 US election, social media played a vital role in shaping public opinions as expressed by the news media that have created the phenomenon of polarization in the United States. Because social media gave people the ability to follow, share, post, comment below everything, the phenomenon of political opinions being spread easily and quickly on social media by the news agencies is bringing out a significantly polarized populace.
Consequently, it’s very important to understand the language differences on Twitter and figure out how propaganda spread by different political parties that influence or perhaps mislead public opinion. This talk will introduce the relationship among the social media, public opinion, and news media, then suggests the method to collect the tweets from Twitter and conduct sentimental and logistic regression analysis on them. Furthermore, this talk points out the special aspect on the relationship between the polarization and the topic of this conference (fake news, disinformation and propaganda).
Main points:
- situation in Taiwan
- research on fake news
- methods for fighting fake news
El Estudio Data Journalism in 2017 aborda cómo los periodistas usan los datos para contar historias.
El análisis ofrece una visión general del estado del periodismo de datos en 2017 y destaca los retos clave para que el campo avance.
Algunas conclusiones:
- El 42% de los periodistas emplean los datos para contar historias de manera regular (dos veces o más por semana).
- El 51% de los medios de comunicación en Estados Unidos y Europa tienen en las redacciones al menos un periodista especializadp a los datos (periodista de datos). Este porcentaje se eleva al 60% para los medios digitales.
- El 33% de los periodistas usan datos para historias políticas, seguidos por 28% para finanzas y economía y 25% por historias enmarcadas en el periodismo de investigación.
Informe de Google Labs y PolizyViz (ENG) para averiguar cómo utilizan los periodistas los datos a la hora de redactar las informaciones.
Es el resultado de realizar 56 entrevistas en profundidad a responsables, expertos en visualización de datos, periodistas de datos y vídeoperiodistas de EEUU, Alemania, Francia y Gran Bretaña. Además, se hizo una encuesta cuantitativa a más de 900 periodistas y editores.
Página web: https://newslab.withgoogle.com/assets/docs/data-journalism-in-2017.pdf
Clustering analysis on news from health OSINT data regarding CORONAVIRUS-COVI...ALexandruDaia1
Our primarly goal was to detect clusters via gensim libraries in news data consisting ofinformation regarding health and threats. We identified clusters for the periodscorresponding: i) Jannuary 2006 until the end of 2019, as December 2019 is considered thefirst month in which information about CORONVIRUS COVID-19 was made public; ii)between the 1st of Jannuary 2019 and 31st December 2019; and iii) between the 31st ofDecember 2019 and the 14th of April 2020. We conducted experiments using naturallanguage on open source intelligence data offered generously by brica.de, a providerspecialized in Business Risk Intelligence & Cyberthreat Awareness.
DETECTION OF FAKE ACCOUNTS IN INSTAGRAM USING MACHINE LEARNINGijcsit
With the advent of the Internet and social media, while hundreds of people have benefitted from the vast sources of information available, there has been an enormous increase in the rise of cyber-crimes, particularly targeted towards women. According to a 2019 report in the [4] Economics Times, India has witnessed a 457% rise in cybercrime in the five year span between 2011 and 2016. Most speculate that this is due to impact of social media such as Facebook, Instagram and Twitter on our daily lives. While these definitely help in creating a sound social network, creation of user accounts in these sites usually needs just an email-id. A real life person can create multiple fake IDs and hence impostors can easily be made. Unlike the real world scenario where multiple rules and regulations are imposed to identify oneself in a unique manner (for example while issuing one’s passport or driver’s license), in the virtual world of social media, admission does not require any such checks. In this paper, we study the different accounts of Instagram, in particular and try to assess an account as fake or real using Machine Learning techniques namely Logistic Regression and Random Forest Algorithm.
IEEE PROJECTS 2016 - 2017
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Project Domain list 2016
1. IEEE based on datamining and knowledge engineering,
2. IEEE based on mobile computing,
3. IEEE based on networking,
4. IEEE based on Image processing,
5. IEEE based on Multimedia,
6. IEEE based on Network security,
7. IEEE based on parallel and distributed systems
Project Domain list 2016
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2016
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
5. IOT Projects
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US:-
1 CRORE PROJECTS
Door No: 66 ,Ground Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 7708150152
A RELIABLE ARTIFICIAL INTELLIGENCE MODEL FOR FALSE NEWS DETECTION MADE BY PUB...caijjournal
The quick access to information on social media networks as well as its exponential rise also made it
difficult to distinguish among fake information or real information. The fast dissemination by way of
sharing has enhanced its falsification exponentially. It is also important for the credibility of social media
networks to avoid the spread of fake information. So it is emerging research challenge to automatically
check for misstatement of information through its source, content, or publisher and prevent the
unauthenticated sources from spreading rumours. This paper demonstrates an artificial intelligence based
approach for the identification of the false statements made by social network entities. Two variants of
Deep neural networks are being applied to evalues datasets and analyse for fake news presence. The
implementation setup produced maximum extent 99% classification accuracy, when dataset is tested for
binary (true or false) labeling with multiple epochs.
Hoax analyzer for Indonesian news using RNNs with fasttext and glove embeddingsjournalBEEI
Misinformation has become an innocuous yet potentially harmful problem ever since the development of internet. Numbers of efforts are done to prevent the consumption of misinformation, including the use of artificial intelligence (AI), mainly natural language processing (NLP). Unfortunately, most of natural language processing use English as its linguistic approach since English is a high resource language. On the contrary, Indonesia language is considered a low resource language thus the amount of effort to diminish consumption of misinformation is low compared to English-based natural language processing. This experiment is intended to compare fastText and GloVe embeddings for four deep neural networks (DNN) models: long short-term memory (LSTM), bidirectional long short-term memory (BI-LSTM), gated recurrent unit (GRU) and bidirectional gated recurrent unit (BI-GRU) in terms of metrics score when classifying news between three classes: fake, valid, and satire. The latter results show that fastText embedding is better than GloVe embedding in supervised text classification, along with BI-GRU + fastText yielding the best result.
BBC's shoddy analysis about fake news spread in India
PS: Fake news is being spread, there is NO doubt about that.
But there is no easy way to arrive at the outlandish conclusions they have arrived at. Take a look :-) They start off with some "data analysis" and call it qualitative research.
International Journal of HRM and Organizational Behavior (IJHRMOB) is an online International Journal published half yearly. It is a peer reviewed journal aiming to communicate high quality original research work, reviews, in the fields of Human Resource Management and Organizational Behavior. The Journal publishes research and review articles.
https://ijhrmob.com/
Hyderabad Telangana
Stock market prediction using Twitter sentiment analysisIJRTEMJOURNAL
In a study, it was investigated relationship among stock market movement and Tweeter feed
content. We are expecting to see if there is connection among sentiment information extracted from the Tweets
using a Vader in predicting movements of stock prices. As a result it was obtained strong positive correlation with
a coefficient of correlation to be 0.7815.
Stock market prediction using Twitter sentiment analysisjournal ijrtem
ABSTRACT : In a study, it was investigated relationship among stock market movement and Tweeter feed content. We are expecting to see if there is connection among sentiment information extracted from the Tweets using a Vader in predicting movements of stock prices. As a result it was obtained strong positive correlation with a coefficient of correlation to be 0.7815.
KEYWORDS : correlation, financial market, polarity, sentiment analysis, tweets
Add a section to the paper you submittedIt is based on the paper (.docxdaniahendric
Add a section to the paper you submittedIt is based on the paper ( 4th Sept 2019) check it out. The new section should address the following:
Identify and describe at least two competing needs impacting your selected healthcare issue/stressor.
Describe a relevant policy or practice in your organization that may influence your selected healthcare issue/stressor.
Critique the policy for ethical considerations, and explain the policy’s strengths and challenges in promoting ethics.
Recommend one or more policy or practice changes designed to balance the competing needs of resources, workers, and patients, while addressing any ethical shortcomings of the existing policies. Be specific and provide examples.
Cite evidence that informs the healthcare issue/stressor and/or the policies, and provide two scholarly resources in support of your policy or practice recommendations.
S E P T E M B E R 2 0 1 7 | V O L . 6 0 | N O . 9 | C O M M U N I C AT I O N S O F T H E A C M 65
W H I L E T H E I N T E R N E T has the potential to give people
ready access to relevant and factual information,
social media sites like Facebook and Twitter have made
filtering and assessing online content increasingly
difficult due to its rapid flow and enormous volume.
In fact, 49% of social media users in the U.S. in 2012
received false breaking news through
social media.8 Likewise, a survey by
Silverman11 suggested in 2015 that
false rumors and misinformation
disseminated further and faster than
ever before due to social media. Polit-
ical analysts continue to discuss mis-
information and fake news in social
media and its effect on the 2016 U.S.
presidential election.
Such misinformation challenges
the credibility of the Internet as a
venue for authentic public informa-
tion and debate. In response, over the
past five years, a proliferation of out-
lets has provided fact checking and
debunking of online content. Fact-
checking services, say Kriplean et al.,6
provide “… evaluation of verifiable
claims made in public statements
through investigation of primary and
secondary sources.” An international
Trust and
Distrust
in Online
Fact-Checking
Services
D O I : 1 0 . 1 1 4 5 / 3 1 2 2 8 0 3
Even when checked by fact checkers, facts are
often still open to preexisting bias and doubt.
BY PETTER BAE BRANDTZAEG AND ASBJØRN FØLSTAD
key insights
˽ Though fact-checking services play
an important role countering online
disinformation, little is known about whether
users actually trust or distrust them.
˽ The data we collected from social media
discussions—on Facebook, Twitter, blogs,
forums, and discussion threads in online
newspapers—reflects users’ opinions
about fact-checking services.
˽ To strengthen trust, fact-checking services
should strive to increase transparency
in their processes, as well as in their
organizations, and funding sources.
http://dx.doi.org/10.1145/3122803
66 C O ...
FAKE NEWS DETECTION WITH SEMANTIC FEATURES AND TEXT MININGkevig
Nearly 70% of people are concerned about the propagation of fake news. This paper aims to detect fake news in online articles through the use of semantic features and various machine learning techniques. In this research, we investigated recurrent neural networks vs. the naive bayes classifier and random forest classifiers using five groups of linguistic features. Evaluated with real or fake dataset from kaggle.com, the best performing model achieved an accuracy of 95.66% using bigram features with the random forest classifier. The fact that bigrams outperform unigrams, trigrams, and quadgrams show that word pairs as opposed to single words or phrases best indicate the authenticity of news.
Sentiment Analysis on Twitter Dataset using R Languageijtsrd
Sentiment Analysis involves determining the evaluative nature of a piece of text. A product review can express a positive, negative, or neutral sentiment or polarity . Automatically identifying sentiment expressed in text has a number of applications, including tracking sentiment towards Movie reviews and Automobile reviews improving customer relation models, detecting happiness and well being, and improving automatic dialogue systems. The evaluative intensity for both positive and negative terms changes in a negated context, and the amount of change varies from term to term. To adequately capture the impact of negation on individual terms, here proposed to empirically estimate the sentiment scores of terms in negated context from movie review and auto mobile review, and built two lexicons, one for terms in negated contexts and one for terms in affirmative non negated contexts. By using these Affirmative Context Lexicons and Negated Context Lexicons were able to significantly improve the performance of the overall sentiment analysis system on both tasks. This thesis have proposed a sentiment analysis system that detects the sentiment of corpus dataset using movie review and Automobile review as well as the sentiment of a term a word or a phrase within a message term level task using R language. B. Nagajothi | Dr. R. Jemima Priyadarsini "Sentiment Analysis on Twitter Dataset using R Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28071.pdf Paper URL: https://www.ijtsrd.com/computer-science/data-miining/28071/sentiment-analysis-on-twitter-dataset-using-r-language/b-nagajothi
Informe de Google Labs y PolizyViz (ENG) para averiguar cómo utilizan los periodistas los datos a la hora de redactar las informaciones.
Es el resultado de realizar 56 entrevistas en profundidad a responsables, expertos en visualización de datos, periodistas de datos y vídeoperiodistas de EEUU, Alemania, Francia y Gran Bretaña. Además, se hizo una encuesta cuantitativa a más de 900 periodistas y editores.
Página web: https://newslab.withgoogle.com/assets/docs/data-journalism-in-2017.pdf
Clustering analysis on news from health OSINT data regarding CORONAVIRUS-COVI...ALexandruDaia1
Our primarly goal was to detect clusters via gensim libraries in news data consisting ofinformation regarding health and threats. We identified clusters for the periodscorresponding: i) Jannuary 2006 until the end of 2019, as December 2019 is considered thefirst month in which information about CORONVIRUS COVID-19 was made public; ii)between the 1st of Jannuary 2019 and 31st December 2019; and iii) between the 31st ofDecember 2019 and the 14th of April 2020. We conducted experiments using naturallanguage on open source intelligence data offered generously by brica.de, a providerspecialized in Business Risk Intelligence & Cyberthreat Awareness.
DETECTION OF FAKE ACCOUNTS IN INSTAGRAM USING MACHINE LEARNINGijcsit
With the advent of the Internet and social media, while hundreds of people have benefitted from the vast sources of information available, there has been an enormous increase in the rise of cyber-crimes, particularly targeted towards women. According to a 2019 report in the [4] Economics Times, India has witnessed a 457% rise in cybercrime in the five year span between 2011 and 2016. Most speculate that this is due to impact of social media such as Facebook, Instagram and Twitter on our daily lives. While these definitely help in creating a sound social network, creation of user accounts in these sites usually needs just an email-id. A real life person can create multiple fake IDs and hence impostors can easily be made. Unlike the real world scenario where multiple rules and regulations are imposed to identify oneself in a unique manner (for example while issuing one’s passport or driver’s license), in the virtual world of social media, admission does not require any such checks. In this paper, we study the different accounts of Instagram, in particular and try to assess an account as fake or real using Machine Learning techniques namely Logistic Regression and Random Forest Algorithm.
IEEE PROJECTS 2016 - 2017
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Project Domain list 2016
1. IEEE based on datamining and knowledge engineering,
2. IEEE based on mobile computing,
3. IEEE based on networking,
4. IEEE based on Image processing,
5. IEEE based on Multimedia,
6. IEEE based on Network security,
7. IEEE based on parallel and distributed systems
Project Domain list 2016
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2016
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
5. IOT Projects
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US:-
1 CRORE PROJECTS
Door No: 66 ,Ground Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 7708150152
A RELIABLE ARTIFICIAL INTELLIGENCE MODEL FOR FALSE NEWS DETECTION MADE BY PUB...caijjournal
The quick access to information on social media networks as well as its exponential rise also made it
difficult to distinguish among fake information or real information. The fast dissemination by way of
sharing has enhanced its falsification exponentially. It is also important for the credibility of social media
networks to avoid the spread of fake information. So it is emerging research challenge to automatically
check for misstatement of information through its source, content, or publisher and prevent the
unauthenticated sources from spreading rumours. This paper demonstrates an artificial intelligence based
approach for the identification of the false statements made by social network entities. Two variants of
Deep neural networks are being applied to evalues datasets and analyse for fake news presence. The
implementation setup produced maximum extent 99% classification accuracy, when dataset is tested for
binary (true or false) labeling with multiple epochs.
Hoax analyzer for Indonesian news using RNNs with fasttext and glove embeddingsjournalBEEI
Misinformation has become an innocuous yet potentially harmful problem ever since the development of internet. Numbers of efforts are done to prevent the consumption of misinformation, including the use of artificial intelligence (AI), mainly natural language processing (NLP). Unfortunately, most of natural language processing use English as its linguistic approach since English is a high resource language. On the contrary, Indonesia language is considered a low resource language thus the amount of effort to diminish consumption of misinformation is low compared to English-based natural language processing. This experiment is intended to compare fastText and GloVe embeddings for four deep neural networks (DNN) models: long short-term memory (LSTM), bidirectional long short-term memory (BI-LSTM), gated recurrent unit (GRU) and bidirectional gated recurrent unit (BI-GRU) in terms of metrics score when classifying news between three classes: fake, valid, and satire. The latter results show that fastText embedding is better than GloVe embedding in supervised text classification, along with BI-GRU + fastText yielding the best result.
BBC's shoddy analysis about fake news spread in India
PS: Fake news is being spread, there is NO doubt about that.
But there is no easy way to arrive at the outlandish conclusions they have arrived at. Take a look :-) They start off with some "data analysis" and call it qualitative research.
International Journal of HRM and Organizational Behavior (IJHRMOB) is an online International Journal published half yearly. It is a peer reviewed journal aiming to communicate high quality original research work, reviews, in the fields of Human Resource Management and Organizational Behavior. The Journal publishes research and review articles.
https://ijhrmob.com/
Hyderabad Telangana
Stock market prediction using Twitter sentiment analysisIJRTEMJOURNAL
In a study, it was investigated relationship among stock market movement and Tweeter feed
content. We are expecting to see if there is connection among sentiment information extracted from the Tweets
using a Vader in predicting movements of stock prices. As a result it was obtained strong positive correlation with
a coefficient of correlation to be 0.7815.
Stock market prediction using Twitter sentiment analysisjournal ijrtem
ABSTRACT : In a study, it was investigated relationship among stock market movement and Tweeter feed content. We are expecting to see if there is connection among sentiment information extracted from the Tweets using a Vader in predicting movements of stock prices. As a result it was obtained strong positive correlation with a coefficient of correlation to be 0.7815.
KEYWORDS : correlation, financial market, polarity, sentiment analysis, tweets
Add a section to the paper you submittedIt is based on the paper (.docxdaniahendric
Add a section to the paper you submittedIt is based on the paper ( 4th Sept 2019) check it out. The new section should address the following:
Identify and describe at least two competing needs impacting your selected healthcare issue/stressor.
Describe a relevant policy or practice in your organization that may influence your selected healthcare issue/stressor.
Critique the policy for ethical considerations, and explain the policy’s strengths and challenges in promoting ethics.
Recommend one or more policy or practice changes designed to balance the competing needs of resources, workers, and patients, while addressing any ethical shortcomings of the existing policies. Be specific and provide examples.
Cite evidence that informs the healthcare issue/stressor and/or the policies, and provide two scholarly resources in support of your policy or practice recommendations.
S E P T E M B E R 2 0 1 7 | V O L . 6 0 | N O . 9 | C O M M U N I C AT I O N S O F T H E A C M 65
W H I L E T H E I N T E R N E T has the potential to give people
ready access to relevant and factual information,
social media sites like Facebook and Twitter have made
filtering and assessing online content increasingly
difficult due to its rapid flow and enormous volume.
In fact, 49% of social media users in the U.S. in 2012
received false breaking news through
social media.8 Likewise, a survey by
Silverman11 suggested in 2015 that
false rumors and misinformation
disseminated further and faster than
ever before due to social media. Polit-
ical analysts continue to discuss mis-
information and fake news in social
media and its effect on the 2016 U.S.
presidential election.
Such misinformation challenges
the credibility of the Internet as a
venue for authentic public informa-
tion and debate. In response, over the
past five years, a proliferation of out-
lets has provided fact checking and
debunking of online content. Fact-
checking services, say Kriplean et al.,6
provide “… evaluation of verifiable
claims made in public statements
through investigation of primary and
secondary sources.” An international
Trust and
Distrust
in Online
Fact-Checking
Services
D O I : 1 0 . 1 1 4 5 / 3 1 2 2 8 0 3
Even when checked by fact checkers, facts are
often still open to preexisting bias and doubt.
BY PETTER BAE BRANDTZAEG AND ASBJØRN FØLSTAD
key insights
˽ Though fact-checking services play
an important role countering online
disinformation, little is known about whether
users actually trust or distrust them.
˽ The data we collected from social media
discussions—on Facebook, Twitter, blogs,
forums, and discussion threads in online
newspapers—reflects users’ opinions
about fact-checking services.
˽ To strengthen trust, fact-checking services
should strive to increase transparency
in their processes, as well as in their
organizations, and funding sources.
http://dx.doi.org/10.1145/3122803
66 C O ...
FAKE NEWS DETECTION WITH SEMANTIC FEATURES AND TEXT MININGkevig
Nearly 70% of people are concerned about the propagation of fake news. This paper aims to detect fake news in online articles through the use of semantic features and various machine learning techniques. In this research, we investigated recurrent neural networks vs. the naive bayes classifier and random forest classifiers using five groups of linguistic features. Evaluated with real or fake dataset from kaggle.com, the best performing model achieved an accuracy of 95.66% using bigram features with the random forest classifier. The fact that bigrams outperform unigrams, trigrams, and quadgrams show that word pairs as opposed to single words or phrases best indicate the authenticity of news.
Sentiment Analysis on Twitter Dataset using R Languageijtsrd
Sentiment Analysis involves determining the evaluative nature of a piece of text. A product review can express a positive, negative, or neutral sentiment or polarity . Automatically identifying sentiment expressed in text has a number of applications, including tracking sentiment towards Movie reviews and Automobile reviews improving customer relation models, detecting happiness and well being, and improving automatic dialogue systems. The evaluative intensity for both positive and negative terms changes in a negated context, and the amount of change varies from term to term. To adequately capture the impact of negation on individual terms, here proposed to empirically estimate the sentiment scores of terms in negated context from movie review and auto mobile review, and built two lexicons, one for terms in negated contexts and one for terms in affirmative non negated contexts. By using these Affirmative Context Lexicons and Negated Context Lexicons were able to significantly improve the performance of the overall sentiment analysis system on both tasks. This thesis have proposed a sentiment analysis system that detects the sentiment of corpus dataset using movie review and Automobile review as well as the sentiment of a term a word or a phrase within a message term level task using R language. B. Nagajothi | Dr. R. Jemima Priyadarsini "Sentiment Analysis on Twitter Dataset using R Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28071.pdf Paper URL: https://www.ijtsrd.com/computer-science/data-miining/28071/sentiment-analysis-on-twitter-dataset-using-r-language/b-nagajothi
Detecting Important Life Events on Twitter Using Frequent Semantic and Syntac...COMRADES project
Dickinson, Thomas; Fernandez, Miriam; Thomas, Lisa; Mulholland, Paul; Briggs, Pam and Alani, Harith (2016). Detecting Important Life Events on Twitter Using Frequent Semantic and Syntactic Subgraphs. IADIS International Journal on WWW/Internet, 14(2) pp. 23–37.
http://oro.open.ac.uk/48678/
EPIDEMIC OUTBREAK PREDICTION USING ARTIFICIAL INTELLIGENCEijcsit
Intelligent Models for predicting diseases whether building a model to help the doctor or even preventing its spread in an area globally, is increasing day by day. Here we present a noble approach to predict the disease prone area using the power of Text Analysis and Machine Learning. Epidemic Search model using the power of the social network data analysis and then using this data to provide a probability score of the spread and to analyse the areas whether going to suffer from any epidemic spread-out, is the main focus of this work. We have tried to analyse and showcase how the model with different kinds of pre-processing and algorithms predict the output. We have used the combination of words-n grams, word embeddings and TFIDF with different data mining and deep learning algorithms like SVM, Naïve Bayes and RNN-LSTM. Naïve Bayes with TF-IDF performed better in comparison to others.
Quantum Criticism: an Analysis of Political News Reportingmlaij
In this project, we continuously collect data from the RSS feeds of traditional news sources. We apply
several pre-trained implementations of named entity recognition (NER) tools, quantifying the success of
each implementation. We also perform sentiment analysis of each news article at the document, paragraph
and sentence level, with the goal of creating a corpus of tagged news articles that is made available to the
public through a web interface. We show how the data in this corpus could be used to identify bias in news
reporting, and also establish different quantifiable publishing patterns of left-leaning and right-leaning
news organisations.
Intelligent Models for predicting diseases whether building a model to help the doctor or even preventing its spread in an area globally, is increasing day by day. Here we present a noble approach to predict the disease prone area using the power of Text Analysis and Machine Learning. Epidemic Search model using the power of the social network data analysis and then using this data to provide a probability score of the spread and to analyse the areas whether going to suffer from any epidemic spread-out, is the main focus of this work. We have tried to analyse and showcase how the model with different kinds of pre-processing and algorithms predict the output. We have used the combination of words-n grams, word embeddings and TFIDF with different data mining and deep learning algorithms like SVM, Naïve Bayes and RNN-LSTM. Naïve Bayes with TF-IDF performed better in comparison to others.
The Impact of Linguistic Exclusion on Corporate Hiring Decisionsijtsrd
This paper explores the role of media, particularly, the quality of media content, in the formation of social prejudice against a group. Firstly, we try to explain the reasons behind social discrimination usually conducted by haves against marginalized groups have nots of the society using the theories from behavioral economics. Secondly, we come up with a simple probability model to frame the negative impact of linguistic exclusion by media discriminatory media content on corporate hiring decisions. Lastly we conclude with a discussion on economic losses due to the discriminatory practices while hiring employees in such institutions. Madhuri Singh | Rohit "The Impact of Linguistic Exclusion on Corporate Hiring Decisions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27964.pdfPaper URL: https://www.ijtsrd.com/economics/market-economy/27964/the-impact-of-linguistic-exclusion-on-corporate-hiring-decisions/madhuri-singh
Similar to Era of Sociology News Rumors News Detection using Machine Learning (20)
‘Six Sigma Technique’ A Journey Through its Implementationijtsrd
The manufacturing industries all over the world are facing tough challenges for growth, development and sustainability in today’s competitive environment. They have to achieve apex position by adapting with the global competitive environment by delivering goods and services at low cost, prime quality and better price to increase wealth and consumer satisfaction. Cost Management ensures profit, growth and sustainability of the business with implementation of Continuous Improvement Technique like Six Sigma. This leads to optimize Business performance. The method drives for customer satisfaction, low variation, reduction in waste and cycle time resulting into a competitive advantage over other industries which did not implement it. The main objective of this paper ‘Six Sigma Technique A Journey Through Its Implementation’ is to conceptualize the effectiveness of Six Sigma Technique through the journey of its implementation. Aditi Sunilkumar Ghosalkar "‘Six Sigma Technique’: A Journey Through its Implementation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64546.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64546/‘six-sigma-technique’-a-journey-through-its-implementation/aditi-sunilkumar-ghosalkar
Edge Computing in Space Enhancing Data Processing and Communication for Space...ijtsrd
Edge computing, a paradigm that involves processing data closer to its source, has gained significant attention for its potential to revolutionize data processing and communication in space missions. With the increasing complexity and data volume generated by modern space missions, traditional centralized computing approaches face challenges related to latency, bandwidth, and security. Edge computing in space, involving on board processing and analysis of data, offers promising solutions to these challenges. This paper explores the concept of edge computing in space, its benefits, applications, and future prospects in enhancing space missions. Manish Verma "Edge Computing in Space: Enhancing Data Processing and Communication for Space Missions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64541.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/64541/edge-computing-in-space-enhancing-data-processing-and-communication-for-space-missions/manish-verma
Dynamics of Communal Politics in 21st Century India Challenges and Prospectsijtsrd
Communal politics in India has evolved through centuries, weaving a complex tapestry shaped by historical legacies, colonial influences, and contemporary socio political transformations. This research comprehensively examines the dynamics of communal politics in 21st century India, emphasizing its historical roots, socio political dynamics, economic implications, challenges, and prospects for mitigation. The historical perspective unravels the intricate interplay of religious identities and power dynamics from ancient civilizations to the impact of colonial rule, providing insights into the evolution of communalism. The socio political dynamics section delves into the contemporary manifestations, exploring the roles of identity politics, socio economic disparities, and globalization. The economic implications section highlights how communal politics intersects with economic issues, perpetuating disparities and influencing resource allocation. Challenges posed by communal politics are scrutinized, revealing multifaceted issues ranging from social fragmentation to threats against democratic values. The prospects for mitigation present a multifaceted approach, incorporating policy interventions, community engagement, and educational initiatives. The paper conducts a comparative analysis with international examples, identifying common patterns such as identity politics and economic disparities. It also examines unique challenges, emphasizing Indias diverse religious landscape, historical legacy, and secular framework. Lessons for effective strategies are drawn from international experiences, offering insights into inclusive policies, interfaith dialogue, media regulation, and global cooperation. By scrutinizing historical epochs, contemporary dynamics, economic implications, and international comparisons, this research provides a comprehensive understanding of communal politics in India. The proposed strategies for mitigation underscore the importance of a holistic approach to foster social harmony, inclusivity, and democratic values. Rose Hossain "Dynamics of Communal Politics in 21st Century India: Challenges and Prospects" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64528.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/history/64528/dynamics-of-communal-politics-in-21st-century-india-challenges-and-prospects/rose-hossain
Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in...ijtsrd
Background and Objective Telehealth has become a well known tool for the delivery of health care in Saudi Arabia, and the perspective and knowledge of healthcare providers are influential in the implementation, adoption and advancement of the method. This systematic review was conducted to examine the current literature base regarding telehealth and the related healthcare professional perspective and knowledge in the Kingdom of Saudi Arabia. Materials and Methods This systematic review was conducted by searching 7 databases including, MEDLINE, CINHAL, Web of Science, Scopus, PubMed, PsycINFO, and ProQuest Central. Studies on healthcare practitioners telehealth knowledge and perspectives published in English in Saudi Arabia from 2000 to 2023 were included. Boland directed this comprehensive review. The researchers examined each connected study using the AXIS tool, which evaluates cross sectional systematic reviews. Narrative synthesis was used to summarise and convey the data. Results Out of 1840 search results, 10 studies were included. Positive outlook and limited knowledge among providers were seen across trials. Healthcare professionals like telehealth for its ability to improve quality, access, and delivery, save time and money, and be successful. Age, gender, occupation, and work experience also affect health workers knowledge. In Saudi Arabia, healthcare professionals face inadequate expert assistance, patient privacy, internet connection concerns, lack of training courses, lack of telehealth understanding, and high costs while performing telemedicine. Conclusions Healthcare practitioners telehealth perceptions and knowledge were examined in this systematic study. Its collection of concerned experts different personal attitudes and expertise would help enhance telehealths implementation in Saudi Arabia, develop its healthcare delivery alternative, and eliminate frequent problems. Badriah Mousa I Mulayhi | Dr. Jomin George | Judy Jenkins "Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in Saudi Arabia: A Systematic Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64535.pdf Paper Url: https://www.ijtsrd.com/medicine/other/64535/assess-perspective-and-knowledge-of-healthcare-providers-towards-elehealth-in-saudi-arabia-a-systematic-review/badriah-mousa-i-mulayhi
The Impact of Digital Media on the Decentralization of Power and the Erosion ...ijtsrd
The impact of digital media on the distribution of power and the weakening of traditional gatekeepers has gained considerable attention in recent years. The adoption of digital technologies and the internet has resulted in declining influence and power for traditional gatekeepers such as publishing houses and news organizations. Simultaneously, digital media has facilitated the emergence of new voices and players in the media industry. Digital medias impact on power decentralization and gatekeeper erosion is visible in several ways. One significant aspect is the democratization of information, which enables anyone with an internet connection to publish and share content globally, leading to citizen journalism and bypassing traditional gatekeepers. Another aspect is the disruption of conventional media industry business models, as traditional organizations struggle to adjust to the decrease in advertising revenue and the rise of digital platforms. Alternative business models, such as subscription models and crowdfunding, have become more prevalent, leading to the emergence of new players. Overall, the impact of digital media on the distribution of power and the weakening of traditional gatekeepers has brought about significant changes in the media landscape and the way information is shared. Further research is required to fully comprehend the implications of these changes and their impact on society. Dr. Kusum Lata "The Impact of Digital Media on the Decentralization of Power and the Erosion of Traditional Gatekeepers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64544.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64544/the-impact-of-digital-media-on-the-decentralization-of-power-and-the-erosion-of-traditional-gatekeepers/dr-kusum-lata
Online Voices, Offline Impact Ambedkars Ideals and Socio Political Inclusion ...ijtsrd
This research investigates the nexus between online discussions on Dr. B.R. Ambedkars ideals and their impact on social inclusion among college students in Gurugram, Haryana. Surveying 240 students from 12 government colleges, findings indicate that 65 actively engage in online discussions, with 80 demonstrating moderate to high awareness of Ambedkars ideals. Statistically significant correlations reveal that higher online engagement correlates with increased awareness p 0.05 and perceived social inclusion. Variations across colleges and a notable effect of college type on perceived social inclusion highlight the influence of contextual factors. Furthermore, the intersectional analysis underscores nuanced differences based on gender, caste, and socio economic status. Dr. Kusum Lata "Online Voices, Offline Impact: Ambedkar's Ideals and Socio-Political Inclusion - A Study of Gurugram District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64543.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64543/online-voices-offline-impact-ambedkars-ideals-and-sociopolitical-inclusion--a-study-of-gurugram-district/dr-kusum-lata
Problems and Challenges of Agro Entreprenurship A Studyijtsrd
Noting calls for contextualizing Agro entrepreneurs problems and challenges of the agro entrepreneurs and for greater attention to the Role of entrepreneurs in agro entrepreneurship research, we conduct a systematic literature review of extent research in agriculture entrepreneurship to overcome the study objectives of complications of agro entrepreneurs through various factors, Development of agriculture products is a key factor for the overall economic growth of agro entrepreneurs Agro Entrepreneurs produces firsthand large scale employment, utilizes the labor and natural resources, This research outlines the problems of Weather and Soil Erosions, Market price fluctuation, stimulates labor cost problems, reduces concentration of Price volatility, Dependency on Intermediaries, induces Limited Bargaining Power, and Storage and Transportation Costs. This paper mainly devoted to highlight Problems and challenges faced for the sustainable of Agro Entrepreneurs in India. Vinay Prasad B "Problems and Challenges of Agro Entreprenurship - A Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64540.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64540/problems-and-challenges-of-agro-entreprenurship--a-study/vinay-prasad-b
Comparative Analysis of Total Corporate Disclosure of Selected IT Companies o...ijtsrd
Disclosure is a process through which a business enterprise communicates with external parties. A corporate disclosure is communication of financial and non financial information of the activities of a business enterprise to the interested entities. Corporate disclosure is done through publishing annual reports. So corporate disclosure through annual reports plays a vital role in the life of all the companies and provides valuable information to investors. The basic objectives of corporate disclosure is to give a true and fair view of companies to the parties related either directly or indirectly like owner, government, creditors, shareholders etc. in the companies act, provisions have been made about mandatory and voluntary disclosure. The IT sector in India is rapidly growing, the trend to invest in the IT sector is rising and employment opportunities in IT sectors are also increasing. Therefore the IT sector is expected to have fair, full and adequate disclosure of all information. Unfair and incomplete disclosure may adversely affect the entire economy. A research study on disclosure practices of IT companies could play an important role in this regard. Hence, the present research study has been done to study and review comparative analysis of total corporate disclosure of selected IT companies of India and to put forward overall findings and suggestions with a view to increase disclosure score of these companies. The researcher hopes that the present research study will be helpful to all selected Companies for improving level of corporate disclosure through annual reports as well as the government, creditors, investors, all business organizations and upcoming researcher for comparative analyses of level of corporate disclosure with special reference to selected IT companies. Dr. Vaibhavi D. Thaker "Comparative Analysis of Total Corporate Disclosure of Selected IT Companies of India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64539.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64539/comparative-analysis-of-total-corporate-disclosure-of-selected-it-companies-of-india/dr-vaibhavi-d-thaker
The Impact of Educational Background and Professional Training on Human Right...ijtsrd
This study investigated the impact of educational background and professional training on human rights awareness among secondary school teachers in the Marathwada region of Maharashtra, India. The key findings reveal that higher levels of education, particularly a master’s degree, and fields of study related to education, humanities, or social sciences are associated with greater human rights awareness among teachers. Additionally, both pre service teacher training and in service professional development programs focused on human rights education significantly enhance teacher’s knowledge, skills, and competencies in promoting human rights principles in their classrooms. Baig Ameer Bee Mirza Abdul Aziz | Dr. Syed Azaz Ali Amjad Ali "The Impact of Educational Background and Professional Training on Human Rights Awareness among Secondary School Teachers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64529.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64529/the-impact-of-educational-background-and-professional-training-on-human-rights-awareness-among-secondary-school-teachers/baig-ameer-bee-mirza-abdul-aziz
A Study on the Effective Teaching Learning Process in English Curriculum at t...ijtsrd
“One Language sets you in a corridor for life. Two languages open every door along the way” Frank Smith English as a foreign language or as a second language has been ruling in India since the period of Lord Macaulay. But the question is how much we teach or learn English properly in our culture. Is there any scope to use English as a language rather than a subject How much we learn or teach English without any interference of mother language specially in the classroom teaching learning scenario in West Bengal By considering all these issues the researcher has attempted in this article to focus on the effective teaching learning process comparing to other traditional strategies in the field of English curriculum at the secondary level to investigate whether they fulfill the present teaching learning requirements or not by examining the validity of the present curriculum of English. The purpose of this study is to focus on the effectiveness of the systematic, scientific, sequential and logical transaction of the course between the teachers and the learners in the perspective of the 5Es programme that is engage, explore, explain, extend and evaluate. Sanchali Mondal | Santinath Sarkar "A Study on the Effective Teaching Learning Process in English Curriculum at the Secondary Level of West Bengal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd62412.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/62412/a-study-on-the-effective-teaching-learning-process-in-english-curriculum-at-the-secondary-level-of-west-bengal/sanchali-mondal
The Role of Mentoring and Its Influence on the Effectiveness of the Teaching ...ijtsrd
This paper reports on a study which was conducted to investigate the role of mentoring and its influence on the effectiveness of the teaching of Physics in secondary schools in the South West Region of Cameroon. The study adopted the convergent parallel mixed methods design, focusing on respondents in secondary schools in the South West Region of Cameroon. Both quantitative and qualitative data were collected, analysed separately, and the results were compared to see if the findings confirm or disconfirm each other. The quantitative analysis found that majority of the respondents 72 of Physics teachers affirmed that they had more experienced colleagues as mentors to help build their confidence, improve their teaching, and help them improve their effectiveness and efficiency in guiding learners’ achievements. Only 28 of the respondents disagreed with these statements. With majority respondents 72 agreeing with the statements, it implies that in most secondary schools, experienced Physics teachers act as mentors to build teachers’ confidence in teaching and improving students’ learning. The interview qualitative data analysis summarized how secondary school Principals use meetings with mentors and mentees to promote mentorship in the school milieu. This has helped strengthen teachers’ classroom practices in secondary schools in the South West Region of Cameroon. With the results confirming each other, the study recommends that mentoring should focus on helping teachers employ social interactions and instructional practices feedback and clarity in teaching that have direct measurable impact on students’ learning achievements. Andrew Ngeim Sumba | Frederick Ebot Ashu | Peter Agborbechem Tambi "The Role of Mentoring and Its Influence on the Effectiveness of the Teaching of Physics in Secondary Schools in the South West Region of Cameroon" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64524.pdf Paper Url: https://www.ijtsrd.com/management/management-development/64524/the-role-of-mentoring-and-its-influence-on-the-effectiveness-of-the-teaching-of-physics-in-secondary-schools-in-the-south-west-region-of-cameroon/andrew-ngeim-sumba
Design Simulation and Hardware Construction of an Arduino Microcontroller Bas...ijtsrd
This study primarily focuses on the design of a high side buck converter using an Arduino microcontroller. The converter is specifically intended for use in DC DC applications, particularly in standalone solar PV systems where the PV output voltage exceeds the load or battery voltage. To evaluate the performance of the converter, simulation experiments are conducted using Proteus Software. These simulations provide insights into the input and output voltages, currents, powers, and efficiency under different state of charge SoC conditions of a 12V,70Ah rechargeable lead acid battery. Additionally, the hardware design of the converter is implemented, and practical data is collected through operation, monitoring, and recording. By comparing the simulation results with the practical results, the efficiency and performance of the designed converter are assessed. The findings indicate that while the buck converter is suitable for practical use in standalone PV systems, its efficiency is compromised due to a lower output current. Chan Myae Aung | Dr. Ei Mon "Design Simulation and Hardware Construction of an Arduino-Microcontroller Based DC-DC High-Side Buck Converter for Standalone PV System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64518.pdf Paper Url: https://www.ijtsrd.com/engineering/mechanical-engineering/64518/design-simulation-and-hardware-construction-of-an-arduinomicrocontroller-based-dcdc-highside-buck-converter-for-standalone-pv-system/chan-myae-aung
Sustainable Energy by Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadikuijtsrd
Energy becomes sustainable if it meets the needs of the present without compromising the ability of future generations to meet their own needs. Some of the definitions of sustainable energy include the considerations of environmental aspects such as greenhouse gas emissions, social, and economic aspects such as energy poverty. Generally far more sustainable than fossil fuel are renewable energy sources such as wind, hydroelectric power, solar, and geothermal energy sources. Worthy of note is that some renewable energy projects, like the clearing of forests to produce biofuels, can cause severe environmental damage. The sustainability of nuclear power which is a low carbon source is highly debated because of concerns about radioactive waste, nuclear proliferation, and accidents. The switching from coal to natural gas has environmental benefits, including a lower climate impact, but could lead to delay in switching to more sustainable options. “Carbon capture and storage” can be built into power plants to remove the carbon dioxide CO2 emissions, but this technology is expensive and has rarely been implemented. Leading non renewable energy sources around the world is fossil fuels, coal, petroleum, and natural gas. Nuclear energy is usually considered another non renewable energy source, although nuclear energy itself is a renewable energy source, but the material used in nuclear power plants is not. The paper addresses the issue of sustainable energy, its attendant benefits to the future generation, and humanity in general. Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadiku "Sustainable Energy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64534.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/64534/sustainable-energy/paul-a-adekunte
Concepts for Sudan Survey Act Implementations Executive Regulations and Stand...ijtsrd
This paper aims to outline the executive regulations, survey standards, and specifications required for the implementation of the Sudan Survey Act, and for regulating and organizing all surveying work activities in Sudan. The act has been discussed for more than 5 years. The Land Survey Act was initiated by the Sudan Survey Authority and all official legislations were headed by the Sudan Ministry of Justice till it was issued in 2022. The paper presents conceptual guidelines to be used for the Survey Act implementation and to regulate the survey work practice, standardizing the field surveys, processing, quality control, procedures, and the processes related to survey work carried out by the stakeholders and relevant authorities in Sudan. The conceptual guidelines are meant to improve the quality and harmonization of geospatial data and to aid decision making processes as well as geospatial information systems. The established comprehensive executive regulations will govern and regulate the implementation of the Sudan Survey Geomatics Act in all surveying and mapping practices undertaken by the Sudan Survey Authority SSA and state local survey departments for public or private sector organizations. The targeted standards and specifications include the reference frame, projection, coordinate systems, and the guidelines and specifications that must be followed in the field of survey work, processes, and mapping products. In the last few decades, there has been a growing awareness of the importance of geomatics activities and measurements on the Earths surface in space and time, together with observing and mapping the changes. In such cases, data must be captured promptly, standardized, and obtained with more accuracy and specified in much detail. The paper will also highlight the current situation in Sudan, the degree to which survey standards are used, the problems encountered, and the errors that arise from not using the standards and survey specifications. Kamal A. A. Sami "Concepts for Sudan Survey Act Implementations - Executive Regulations and Standards" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63484.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63484/concepts-for-sudan-survey-act-implementations--executive-regulations-and-standards/kamal-a-a-sami
Towards the Implementation of the Sudan Interpolated Geoid Model Khartoum Sta...ijtsrd
The discussions between ellipsoid and geoid have invoked many researchers during the recent decades, especially during the GNSS technology era, which had witnessed a great deal of development but still geoid undulation requires more investigations. To figure out a solution for Sudans local geoid, this research has tried to intake the possibility of determining the geoid model by following two approaches, gravimetric and geometrical geoid model determination, by making use of GNSS leveling benchmarks at Khartoum state. The Benchmarks are well distributed in the study area, in which, the horizontal coordinates and the height above the ellipsoid have been observed by GNSS while orthometric heights were carried out using precise leveling. The Global Geopotential Model GGM represented in EGM2008 has been exploited to figure out the geoid undulation at the benchmarks in the study area. This is followed by a fitting process, that has been done to suit the geoid undulation data which has been computed using GNSS leveling data and geoid undulation inspired by the EGM2008. Two geoid surfaces were created after the fitting process to ensure that they are identical and both of them could be counted for getting the same geoid undulation with an acceptable accuracy. In this respect, statistical operation played an important role in ensuring the consistency and integrity of the model by applying cross validation techniques splitting the data into training and testing datasets for building the geoid model and testing its eligibility. The geometrical solution for geoid undulation computation has been utilized by applying straightforward equations that facilitate the calculation of the geoid undulation directly through applying statistical techniques for the GNSS leveling data of the study area to get the common equation parameters values that could be utilized to calculate geoid undulation of any position in the study area within the claimed accuracy. Both systems were checked and proved eligible to be used within the study area with acceptable accuracy which may contribute to solving the geoid undulation problem in the Khartoum area, and be further generalized to determine the geoid model over the entire country, and this could be considered in the future, for regional and continental geoid model. Ahmed M. A. Mohammed. | Kamal A. A. Sami "Towards the Implementation of the Sudan Interpolated Geoid Model (Khartoum State Case Study)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63483.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63483/towards-the-implementation-of-the-sudan-interpolated-geoid-model-khartoum-state-case-study/ahmed-m-a-mohammed
Activating Geospatial Information for Sudans Sustainable Investment Mapijtsrd
Sudan is witnessing an acceleration in the processes of development and transformation in the performance of government institutions to raise the productivity and investment efficiency of the government sector. The development plans and investment opportunities have focused on achieving national goals in various sectors. This paper aims to illuminate the path to the future and provide geospatial data and information to develop the investment climate and environment for all sized businesses, and to bridge the development gap between the Sudan states. The Sudan Survey Authority SSA is the main advisor to the Sudan Government in conducting surveying, mappings, designing, and developing systems related to geospatial data and information. In recent years, SSA made a strategic partnership with the Ministry of Investment to activate Geospatial Information for Sudans Sustainable Investment and in particular, for the preparation and implementation of the Sudan investment map, based on the directives and objectives of the Ministry of Investment MI in Sudan. This paper comes within the framework of activating the efforts of the Ministry of Investment to develop technical investment services by applying techniques adopted by the Ministry and its strategic partners for advancing investment processes in the country. Kamal A. A. Sami "Activating Geospatial Information for Sudan's Sustainable Investment Map" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63482.pdf Paper Url: https://www.ijtsrd.com/engineering/information-technology/63482/activating-geospatial-information-for-sudans-sustainable-investment-map/kamal-a-a-sami
Educational Unity Embracing Diversity for a Stronger Societyijtsrd
In a rapidly changing global landscape, the importance of education as a unifying force cannot be overstated. This paper explores the crucial role of educational unity in fostering a stronger and more inclusive society through the embrace of diversity. By examining the benefits of diverse learning environments, the paper aims to highlight the positive impact on societal strength. The discussion encompasses various dimensions, from curriculum design to classroom dynamics, and emphasizes the need for educational institutions to become catalysts for unity in diversity. It highlights the need for a paradigm shift in educational policies, curricula, and pedagogical approaches to ensure that they are reflective of the diverse fabric of society. This paper also addresses the challenges associated with implementing inclusive educational practices and offers practical strategies for overcoming barriers. It advocates for collaborative efforts between educational institutions, policymakers, and communities to create a supportive ecosystem that promotes diversity and unity. Mr. Amit Adhikari | Madhumita Teli | Gopal Adhikari "Educational Unity: Embracing Diversity for a Stronger Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64525.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64525/educational-unity-embracing-diversity-for-a-stronger-society/mr-amit-adhikari
Integration of Indian Indigenous Knowledge System in Management Prospects and...ijtsrd
The diversity of indigenous knowledge systems in India is vast and can vary significantly between different communities and regions. Preserving and respecting these knowledge systems is crucial for maintaining cultural heritage, promoting sustainable practices, and fostering cross cultural understanding. In this paper, an overview of the prospects and challenges associated with incorporating Indian indigenous knowledge into management is explored. It is found that IIKS helps in management in many areas like sustainable development, tourism, food security, natural resource management, cultural preservation and innovation, etc. However, IIKS integration with management faces some challenges in the form of a lack of documentation, cultural sensitivity, language barriers legal framework, etc. Savita Lathwal "Integration of Indian Indigenous Knowledge System in Management: Prospects and Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63500.pdf Paper Url: https://www.ijtsrd.com/management/accounting-and-finance/63500/integration-of-indian-indigenous-knowledge-system-in-management-prospects-and-challenges/savita-lathwal
DeepMask Transforming Face Mask Identification for Better Pandemic Control in...ijtsrd
The COVID 19 pandemic has highlighted the crucial need of preventive measures, with widespread use of face masks being a key method for slowing the viruss spread. This research investigates face mask identification using deep learning as a technological solution to be reducing the risk of coronavirus transmission. The proposed method uses state of the art convolutional neural networks CNNs and transfer learning to automatically recognize persons who are not wearing masks in a variety of circumstances. We discuss how this strategy improves public health and safety by providing an efficient manner of enforcing mask wearing standards. The report also discusses the obstacles, ethical concerns, and prospective applications of face mask detection systems in the ongoing fight against the pandemic. Dilip Kumar Sharma | Aaditya Yadav "DeepMask: Transforming Face Mask Identification for Better Pandemic Control in the COVID-19 Era" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64522.pdf Paper Url: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/64522/deepmask-transforming-face-mask-identification-for-better-pandemic-control-in-the-covid19-era/dilip-kumar-sharma
Streamlining Data Collection eCRF Design and Machine Learningijtsrd
Efficient and accurate data collection is paramount in clinical trials, and the design of Electronic Case Report Forms eCRFs plays a pivotal role in streamlining this process. This paper explores the integration of machine learning techniques in the design and implementation of eCRFs to enhance data collection efficiency. We delve into the synergies between eCRF design principles and machine learning algorithms, aiming to optimize data quality, reduce errors, and expedite the overall data collection process. The application of machine learning in eCRF design brings forth innovative approaches to data validation, anomaly detection, and real time adaptability. This paper discusses the benefits, challenges, and future prospects of leveraging machine learning in eCRF design for streamlined and advanced data collection in clinical trials. Dhanalakshmi D | Vijaya Lakshmi Kannareddy "Streamlining Data Collection: eCRF Design and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63515.pdf Paper Url: https://www.ijtsrd.com/biological-science/biotechnology/63515/streamlining-data-collection-ecrf-design-and-machine-learning/dhanalakshmi-d
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
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Deception: convinces readers of the validity of a story
fuelled by paranoia
Literature: misleads readers to believe in a particular
political / social agenda Unlike hoaxes and propaganda.
Falsehoods and satire tend to invent stories, whereas
propaganda often combines truths, falsehoods and
ambiguities to confuse readers. We applied various lexical
resources to confident and fake news articles in order to
characterize differences between news types. In
communication theory and stylistic analysis in
computational linguistics, we draw lexical resources from
past works. We Tonkenized NLTK text, compute the count
per document and report averages per article of each type
for each lexicon (Bird et al., 2009). The LIWC, a lexicon
widely used in social science studies, has been among the
first to be found in these lexicons (Pennebaker et al., 2015).
Furthermore, we estimate that words with lexicogenous
sentiment are strongly and weakly subjective (Wilson et al.,
2005). In the drama or sensationalization of a news story,
subjective words may be used. In addition, we use lexicons
to hedge (Hyland, 2015) as hedging indicates a vague,
obscure language. Finally, we're introducing intensifying
lexicons we've been crawling from Wiktionary based on a
hypothesis that fake news articles are trying to animate
stories to attract readers.
Five Lists of Wiktionary Words have been compiled, which
involve a certain degree of dramatization (comparatives,
superlatives, action adverbs, adverbs and modal adverbs).
Argument: the ratio of averages for a handful of the
measured features between unreliable news and true news.
Ratios greater than one denote features more prominent in
fake news and features more prominent in truthful news
features ratios less than one denote. After Bonferroni
correction, the ratios between reported unreliable /reliable
news are statistically significant (p<0.01) with Welsch t-test.
Our results show that pronouns of the first person and
second person are used more in less reliable or
disappointing types of news. This contrasts studies in other
fields (Newman et al., 2003), which found fewer self-
references in people telling their personal views lies, In
contrast to that domain, news writers try to be indifferent.
Editors at trusted sources may be more Rigorous removalof
seemingly too personal language, which is one reason why
this result differs from other detectiondomains. Instead,this
finding confirms previous work in writtendomainsfound by
Ott et al. (2011) [5] and Rayson et al. (2001), which found
such pronouns to be indicativeof imaginative writing. Maybe
imaginative storytelling domains are closer to detecting
unreliable news than detecting views. Furthermore, our
results show that words that can be used to amplify –
subjectives, superlatives, and modal adverbs –are all more
used by false news. In truthful news, words used to offer
concrete figures –comparisons, money, and numbers –
appear more.
3. RELATED WORK
There are mainly Four Modules:
Classifier.py: We've built all the classifiers here to predict
the detection of fake news. The extracted characteristics are
fed into various classfiers. We used sklearn Naive-bayes,
logistic regression, linear SVM, decent Stochastic gradient,
and random sklearn forest classifiers. Finallyselected model
was used with the probability of truth for fake news
detection. In addition to this, we also extracted from our
term-frequency tfidf vectorizer the top 50 features to see
which words are most important in each of the classes. We
also used Precision-Recall and learning curves to see how
the training and test set works when we increase the data in
our classifiers.
DataPrep.py: This file contains all the necessary pre-
processing functions for processing all documents and texts
input. First we read the data files for train, test and
validation, then we didsome pre-processing such as
tokenizing, stemming, etc. There are some analyzes of
exploratory data such as distribution of variable responses
and checks of data quality such as null or missing values etc.
FeatureSelection.py: We performed extraction of features
and selection methods from sci-kit learning python libraries
in this file. We used methods such as simple bag-of-words
and n-grams for selection of features and then term
frequency such as tf-tdf weighting.
Prediction.py: Our finally selected and best performnig
classifier was Logistic Regression, which was then saved
with the final model.sav name on the disk. Once this
repository is closed, this model will be copied to the user's
machine and used to classify the fake news by prediction.py
file. It takes a news article as user input, then model is used
for the final output of classification shown to the user along
with the probability of truth.
Figure1 Future directions and open issues for fake news
detection on social media.
4. METHODOLOGY
4.1 N-GRAM
N-grrm modeling is a popular approach to identifying and
analyzing features used in the fields of language modeling
and processing of natural language. N-gram is an adjacent
sequence of n-length items. It could be word, byte, syllable,
or character sequence. Word-based and character-based n-
grams are the most commonly used n-gram models in text
categorization. We use word-based n-gram in this work to
represent the document context and generate features to
classify the document. To distinguish between fake and
honest news articles, we develop a simple n-gram-based
classifier. The idea is to generate different sets of n-gram
frequency profiles from the training data to represent false
information And articles of truthful news. We used several
word-based baseline n-gram features and looked at the
effect of n-gram length on the accuracy of various
classification algorithms.
4.2 Data Pre-processing
Before representing the data using n-gramandvector-based
model, some refinements such as stop-word removal,
tokenization, lower case, sentence segmentation, and
punctuation removal need to be subjected to the data. This
3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD23534 | Volume – 3 | Issue – 3 | Mar-Apr 2019 Page: 1803
will help us to reduce the actual data size by removing the
data's irrelevant information[13]. To remove punctuation
and non-letter characters for each document, we created a
generic processing function; then we lowered the letter case
in the document. In addition, a tokenizer based on a n-gram
word was created to slice the text based on the length of n
Stop Word Removal
Stop words are meaningless words in a language that, when
used as features in text classification,willcreatenoise.These
are words that are commonly used extensively in sentences
to help connect thought or help in the structureof sentences.
Articles, prepositions and conjunctions, as well as certain
pronouns, are considered words of stop. We have removed
common words like, a, about, an, are, like, at, be, by, for,
from, how, in, is, on, or, that, the, these, this, too, was what,
when, where, who, who, will, etc. These words have been
removed from each document and thedocumentsprocessed
have been stored and passed on to the next step.
Stemming
The next step is to transform the tokensintoastandard form
after tokenizing the data. Stemming simply transforms the
words into their original form and lowers the number of
word types or classes in the data. For example, the words
"Running," "Ran" and "Runner" will be reduced to the word
"run." To make classification faster and more efficient, we
use stemming. We also use Porter stemmer, which due to its
accuracy is the most commonly used stemming algorithms.
4.3 Features Extraction
Learning from high-dimensionaldataisoneof thechallenges
of categorizing text. There are a large number of terms,
words, and phrases in documents that result in the learning
process having a high computationalburden. Inaddition,the
classifiers ' accuracy and performance can be hurt by
irrelevant and redundant features.Thus,toreducethesizeof
the text feature and avoid large space dimensions of the
feature, it is best to perform feature reduction.Twodifferent
selection methods of features, namely Term Frequency(TF)
and Term Frequency-Inverted Document Frequency (TF-
IDF), were studied in this research. The following describes
these methods.
A. Term Frequency (TF)
Term Frequency is an approach that uses the numbers of
words in the documents to determinethesimilaritybetween
documents. Each document is represented by a vector of
equal length containing the counts of words. Next, each
vector is standardized in a way that adds to one the sum of
its elements. Then each word count is converted into the
likelihood of such a word in the documents. For example, if a
word is in a particular document, it is represented as one,
and if it is not in the document, it is set to zero.
Consequently, each document is represented by word
groups.
B. TF-IDF
The Term Frequency-Inverted Document Frequency (TF-
IDF) is a weighting metric that is frequently used to retrieve
information and process natural language. It is a statistical
metric used to measure the significanceof atermin adataset
to a document. With the number of times a word appears in
the document, a term importance increases,[11]but this is
counteracted by the word frequency in the corpus. One of
IDF's main features is weighing down the term frequency
while scaling up the rare frequencies. For example, words
like "the" and "then" often appear in the text, and if we only
use TF, the frequency count will be dominated by terms like
these. Use of IDF scales down the impact[10].
4.4 Classification Process
Figure 1 is a graphical representation of the process of
classification. It begins with pre-processing the data set by
removing unnecessary data characters and words. N-gram
features are extracted and the documents involved are
represented by a matrix of features. The final step in the
process of classification is to train the classifier. To predict
the class of the documents, we investigated various
classifiers. Specificall six different machine learning
algorithms have been investigated, namely Stochastic
Gradient Descent.
Figure 2 Classifier Workflow
We used the Python Natural Language Toolkit (NLTK)
implementations of these classifiers. (SGD), Support Vector
Machines (SVM), LinearSupportVectorMachines (LSVM),K-
Nearest Neighbor (KNN), and Decision Trees (DT).
TF-IDF TF
N-gram
size
10,000 50,000 1000 5000 10,000
Unigram 86.0 84,0 85.0 72.0 69.0
BiGram 78.0 73.0 53.0 47.0 53.0
TriGram 55,0 37.0 47.0 48.0 40.0
Four
Gram
71.0 59,0 51.0 47.0 47.0
Table 1 SVM accuracy results. The second row
corresponds to features size. Accuracy values
We divide the dataset into sets of training and testing. For
example, we use 5-fold cross validation in the subsequently
presented experiments, so about 80% of the dataset is used
for training and 20% for testing in each validation.
5. SNAPSHOTS:
Figure 3 In this image the prediction.py file is been called
to check whether the given statement is Fake or true.
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Figure 4 It shows the given statement is False as well as it
gives the confusion matrix decimal value.
6. CONCLUSION
In this paper, through the lenses of various feature
extraction techniques, we presented a detection model for
fake news using n-gram analysis. In addition, two different
extraction techniques features and six different machine
learning techniques were investigated. Whenusingunigram
features and Linear SVM classifier, the proposed model
achieves its highest precision. The highest precision score is
92 %. Fake news detection, with few public datasets, is an
emerging research area. We run our model on an existing
dataset, demonstrating that our model exceeds the original
approach published by the dataset authors.The examine
truthfulness and its linguistic attributes that contribute
across multiple domains[4], suchasonlinenewssources and
public statements. I have perform multiple predictive tasks
on fact-checked statements of varying truth levels (graded
deception) as well as a deeper linguistic comparison of
different types of fake news such as propaganda, satire, and
hoaxes. I have shown that fact-checking is indeed a
challenging task, but that different lexical features can help
us understand the differences between more reliable and
less reliable[7] digital news sources. Fake detection of news
in finely grained classes, which is also a challenging but
interesting and practical issue from short statements.
Hypothetically, the problem may be associated with the
problem of sarcasm detection[15]. It will therefore also be
interesting to see the effect of implementing the existing
methods that are effective in the field of sarcasmdetection in
the field of Fake News detection
7. ACKNOWLEDGEMENTS
I would like to thank LIARLIARPANTSONFIRE whoprovide
user a huge datasets which is very useful while Traning the
data, feature selection of data and Test the data, apart from
this I would like to thank my Project guide who guided me in
all the way and made me understand the importance of
machine learning concepts .
8. REFERENCES
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[3] Shlok Gilda, Department of ComputerEngineering,
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Training. R package version 6.0-70.
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[10] Rubin., Victoria, L., et al.: Fake news or truth? Using
satirical cues to detect potentially misleadingnews.In:
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news event that’s hard to miss. Pew Res. Cent.4 (2016)
[13] Silverman, C., Singer-Vine, J.: Most americans who see
fake news believe it, new survey says. Buzz Feed News
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