आईसीडब्ल्यूआई (इंडियन सिविल वॉचलिस्ट) और Ekō की एक हालिया रिपोर्ट से पता चला है कि भारत के लोकसभा चुनावों से पहले सतर्क रहने का वादा करने के बावजूद, मेटा अपने प्लेटफार्मों पर एआई द्वारा उत्पन्न घृणा सामग्री को मंच दे रहा है।
MK7040 Marketing In The Digital Age And Corporate Social Responsibility.docxstirlingvwriters
1) The document discusses the role of Cambridge Analytica in the 2016 US presidential election and the Brexit referendum, and how they manipulated voters through misinformation.
2) It explores how Cambridge Analytica illegally accessed personal data from 87 million Facebook users and used it for targeted political advertising to influence voters.
3) The author argues this violated ethics and human rights by manipulating people's perceptions for political gain rather than providing accurate information to voters.
role of emotional branding and doppelganger brand image in indian lower house...INFOGAIN PUBLICATION
Politics and Marketing go hand in hand. A party’s or a candidate’s use of environmental analysis and opinion research to promote and publicize an awareness about the party’s organizational motto and aims for the betterment and satisfaction of groups of electors in exchange for their votes is the role of Marketing in politics. Emotional branding is chiefly regarded as a key to marketing success in politics. However, when using emotional branding as a tool to reach out and connect to the masses, little attention is given to the risks posed by this strategy. This article attempts to illuminate how emotional-branding strategies, in an attempt to appeal to the masses are conducive to the emergence of a negative brand image of that party or candidate, technically called as “Doppelgänger” brand Image. A case study of Lok Sabha Election polls of 2014 held in India is considered to highlight how doppelgänger brand image can affect the voting response of the public. The authors discuss how the principle of emotional branding used by the losing party paradoxically encouraged the formation and propagation of doppelgänger brand imagery which back-fired them. The historic loss of Indian National Congress against Bhartiya Janata Party is closely analyzed from the emotional branding and brand outlook perspective. The author concludes with a discussion of how Indian National Congress can progressively use the insights gained by analyzing a doppelgänger brand image.
The Oversight Board was established by Meta (formerly Facebook) in 2020 to provide independent oversight of content moderation decisions on Facebook and Instagram. It is made up of 23 members from around the world and makes binding decisions on specific cases referred to it by Meta. Some of the key issues the Oversight Board has addressed include the suspension of Donald Trump's accounts, content moderation related to conflicts like in Israel/Palestine, and recommending Meta improve transparency around content removals and appeals. The Board also publishes policy recommendations and strategic priorities focused on issues like elections, gender issues, and algorithmic transparency.
Nowadays social media has become one of the largest gatherings of people in online. There are many ways for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behaviour, tailored audiences, keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words or phrases related to that topic. An entity set is created from processing tweets by keyword generation and Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a threshold value, it results in the category which matched the desired interest category. For smaller amounts of data sizes, the results show that our framework performs with higher accuracy rate.
Nowadays social media has become one of the largest gatherings of people in online. There are many ways for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behaviour, tailored audiences, keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words or phrases related to that topic. An entity set is created from processing tweets by keyword generation and Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a threshold value, it results in the category which matched the desired interest category. For smaller amounts of data sizes, the results show that our framework performs with higher accuracy rate.
DISCOVERING USERS TOPIC OF INTEREST FROM TWEETijcsit
Nowadays social media has become one of the largest gatherings of people in online. There are many ways
for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the
most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behaviour, tailored audiences,
keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What
our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This
process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words
or phrases related to that topic. An entity set is created from processing tweets by keyword generation and
Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a
threshold value, it results in the category which matched the desired interest category. For smaller amounts
of data sizes, the results show that our framework performs with higher accuracy rate.
Threading it all together – Q2 Tech TrendsKatie Harbath
The document provides a quarterly report on technology and democracy trends for Q2 2023. Key points discussed include:
- AI and social media platforms like Twitter and its clones continued to dominate conversations about their potential impacts on democracy.
- US courts played an increasing role in technology policy through various cases, and more rulings are expected around the 2024 elections.
- Discussion around banning TikTok faded but related legal challenges continue in courts.
- The first 2024 GOP primary debate was scheduled for August 23rd, with campaigns experimenting with new digital tactics including AI.
- Upcoming events like court cases and the primary debate will influence the technology and policy discussions around elections over the next
State if you agree or disagree with the question and comments made b.pdfmanjan6
State if you agree or disagree with the question and comments made below and why?
Does Maryland’s new social media campaign rule go far enough to validate who is posting the
political information on social media? Maryland has begun a great new way of identifying
political advertisers support of particular politicians. But, this may not do everything that it needs
to do in order to validate who is behind the postings or what is the motivation of the poster. If a
political poster wished to disguise themselves and pretend to support a particular candidate, he or
she could easily tag the advertisement with the legally required statement but still not be
affiliated with the campaign they are supporting. This law would need to be broadened to include
campaign-assuming responsibility for monitoring or approving any post made in their name. In
order to achieve this goal, campaigns would need huge numbers of paid and volunteer team
members just to monitor social media. Otherwise, social media, such as Facebook and Twitter,
would need to have to take more responsibility for the IP addresses they allow to advertise on
their platforms. Since this is a new legal development, it will need to be fine-tuned in order to
protect the public from scammers.
Solution
With the emergence of social media networking being used to advertising in every field, the
same has been done by the political advertisers. With this grew the forgery in the posts that were
made in the name of political parties. So Maryland levied this law in which the political
advertisers will have to identify their political campaign material before posting it on social
media and can post it following set rules and guidelines.
In the above matter it is mentioned that these rules will not eradicate the issue of false
advertising totally as the political poster can be disguised and pretend to support a particular
candidate. Tagging the advertisement with a legally required statement can be done even though
they may not be affiliated with the campaign they are showing support for. To overcome this
forgery ways will have to be found out to monitor and approve any post made in the name of a
candidate or party by the party or candidates. For this special team members will have to be hired
to keep a monitoring eye on the posts on social media. Also the social media can help by keeping
a track of all the IP addresses they allow for the advertisements done ussing their platforms.
These steps are essential to be taken in the political advertising campaigns as they will help
erasing the false advertising in the names of political parties and make social media a trusted and
genuine platform for such advertising..
MK7040 Marketing In The Digital Age And Corporate Social Responsibility.docxstirlingvwriters
1) The document discusses the role of Cambridge Analytica in the 2016 US presidential election and the Brexit referendum, and how they manipulated voters through misinformation.
2) It explores how Cambridge Analytica illegally accessed personal data from 87 million Facebook users and used it for targeted political advertising to influence voters.
3) The author argues this violated ethics and human rights by manipulating people's perceptions for political gain rather than providing accurate information to voters.
role of emotional branding and doppelganger brand image in indian lower house...INFOGAIN PUBLICATION
Politics and Marketing go hand in hand. A party’s or a candidate’s use of environmental analysis and opinion research to promote and publicize an awareness about the party’s organizational motto and aims for the betterment and satisfaction of groups of electors in exchange for their votes is the role of Marketing in politics. Emotional branding is chiefly regarded as a key to marketing success in politics. However, when using emotional branding as a tool to reach out and connect to the masses, little attention is given to the risks posed by this strategy. This article attempts to illuminate how emotional-branding strategies, in an attempt to appeal to the masses are conducive to the emergence of a negative brand image of that party or candidate, technically called as “Doppelgänger” brand Image. A case study of Lok Sabha Election polls of 2014 held in India is considered to highlight how doppelgänger brand image can affect the voting response of the public. The authors discuss how the principle of emotional branding used by the losing party paradoxically encouraged the formation and propagation of doppelgänger brand imagery which back-fired them. The historic loss of Indian National Congress against Bhartiya Janata Party is closely analyzed from the emotional branding and brand outlook perspective. The author concludes with a discussion of how Indian National Congress can progressively use the insights gained by analyzing a doppelgänger brand image.
The Oversight Board was established by Meta (formerly Facebook) in 2020 to provide independent oversight of content moderation decisions on Facebook and Instagram. It is made up of 23 members from around the world and makes binding decisions on specific cases referred to it by Meta. Some of the key issues the Oversight Board has addressed include the suspension of Donald Trump's accounts, content moderation related to conflicts like in Israel/Palestine, and recommending Meta improve transparency around content removals and appeals. The Board also publishes policy recommendations and strategic priorities focused on issues like elections, gender issues, and algorithmic transparency.
Nowadays social media has become one of the largest gatherings of people in online. There are many ways for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behaviour, tailored audiences, keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words or phrases related to that topic. An entity set is created from processing tweets by keyword generation and Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a threshold value, it results in the category which matched the desired interest category. For smaller amounts of data sizes, the results show that our framework performs with higher accuracy rate.
Nowadays social media has become one of the largest gatherings of people in online. There are many ways for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behaviour, tailored audiences, keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words or phrases related to that topic. An entity set is created from processing tweets by keyword generation and Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a threshold value, it results in the category which matched the desired interest category. For smaller amounts of data sizes, the results show that our framework performs with higher accuracy rate.
DISCOVERING USERS TOPIC OF INTEREST FROM TWEETijcsit
Nowadays social media has become one of the largest gatherings of people in online. There are many ways
for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the
most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behaviour, tailored audiences,
keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What
our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This
process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words
or phrases related to that topic. An entity set is created from processing tweets by keyword generation and
Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a
threshold value, it results in the category which matched the desired interest category. For smaller amounts
of data sizes, the results show that our framework performs with higher accuracy rate.
Threading it all together – Q2 Tech TrendsKatie Harbath
The document provides a quarterly report on technology and democracy trends for Q2 2023. Key points discussed include:
- AI and social media platforms like Twitter and its clones continued to dominate conversations about their potential impacts on democracy.
- US courts played an increasing role in technology policy through various cases, and more rulings are expected around the 2024 elections.
- Discussion around banning TikTok faded but related legal challenges continue in courts.
- The first 2024 GOP primary debate was scheduled for August 23rd, with campaigns experimenting with new digital tactics including AI.
- Upcoming events like court cases and the primary debate will influence the technology and policy discussions around elections over the next
State if you agree or disagree with the question and comments made b.pdfmanjan6
State if you agree or disagree with the question and comments made below and why?
Does Maryland’s new social media campaign rule go far enough to validate who is posting the
political information on social media? Maryland has begun a great new way of identifying
political advertisers support of particular politicians. But, this may not do everything that it needs
to do in order to validate who is behind the postings or what is the motivation of the poster. If a
political poster wished to disguise themselves and pretend to support a particular candidate, he or
she could easily tag the advertisement with the legally required statement but still not be
affiliated with the campaign they are supporting. This law would need to be broadened to include
campaign-assuming responsibility for monitoring or approving any post made in their name. In
order to achieve this goal, campaigns would need huge numbers of paid and volunteer team
members just to monitor social media. Otherwise, social media, such as Facebook and Twitter,
would need to have to take more responsibility for the IP addresses they allow to advertise on
their platforms. Since this is a new legal development, it will need to be fine-tuned in order to
protect the public from scammers.
Solution
With the emergence of social media networking being used to advertising in every field, the
same has been done by the political advertisers. With this grew the forgery in the posts that were
made in the name of political parties. So Maryland levied this law in which the political
advertisers will have to identify their political campaign material before posting it on social
media and can post it following set rules and guidelines.
In the above matter it is mentioned that these rules will not eradicate the issue of false
advertising totally as the political poster can be disguised and pretend to support a particular
candidate. Tagging the advertisement with a legally required statement can be done even though
they may not be affiliated with the campaign they are showing support for. To overcome this
forgery ways will have to be found out to monitor and approve any post made in the name of a
candidate or party by the party or candidates. For this special team members will have to be hired
to keep a monitoring eye on the posts on social media. Also the social media can help by keeping
a track of all the IP addresses they allow for the advertisements done ussing their platforms.
These steps are essential to be taken in the political advertising campaigns as they will help
erasing the false advertising in the names of political parties and make social media a trusted and
genuine platform for such advertising..
This document summarizes an article about the structure of online marketing communications channels. It discusses how marketing is moving toward more individualized interactions rather than mass communications. It also describes how social networking allows quick dissemination of both accurate and misleading information. The document proposes an infrastructure model for studying the emergence and evolution of online communication channels, including core/technological, competitive/commercial, and political/regulatory elements.
The Turing test asked whether one could recognize the behavior of a human from that of a computer algorithm. Today this question has suddenly become very relevant in the context of social media, where text constraints limit the expressive power of humans, and real incentives abound to develop human-mimicking software agents called social bots. These elusive entities wildly populate social media ecosystems, often going unnoticed among the population of real people. Bots can be benign or harmful, aiming at persuading, smearing, or deceiving. Here we discuss the characteristics of modern, sophisticated social bots, and how their presence can endanger online ecosystems and our society. We then discuss current efforts aimed at detection of social bots in Twitter. Characteristics related to content, network, sentiment, and temporal patterns of activity are imitated by bots but at the same time can help discriminate synthetic behaviors from human ones, yielding signatures of engineered social tampering.
Indias brands go_social_insights_from_the_india_social_summit_2012Preeti Chaturvedi
The document summarizes insights from the IndiaSocial summit in April 2012. It discusses how Indian brands are using social media more sophisticatedly and getting results. It provides examples of how brands like Shoppers Stop, Pizza Hut, and Mahindra are using platforms like Facebook and campaigns to engage customers. The summit also touched on challenges of social media measurement and the power of social media to influence reputation.
The rapid rise of online political campaigning has made most political financing regulations obsolete, putting transparency and accountability at risk. Seven in 10 countries worldwide do not have any specific limits on online spending on election campaigns, with six out of 10 not having any restrictions on online political advertising at all.
How china is waging a silent war against india using news apps slideshareWipro Infotech Ltd
Back in February, when I came across an article from Times of India Startups, which says Chinese tech and media companies back news apps in India, where most of the leading News apps are mentioned to…
In issue 08, we examine the crucial nature and value of social data and why it has become essential for brands to perform all functions of branding, marketing and selling to their customers.
A Systematic Survey on Detection of Extremism in Social MediaRSIS International
Extremism is an uncommon feature of a person or a group. These extreme features pertain to beliefs, attitudes, feelings, actions, or strategies, etc. Extremist activities happen on various platforms on the Internet. These platforms are constantly being utilized to spread extremist agenda, influence people and create virtual organizations and communities. Automatic detection of such a level of extremism in social media is a technically challenging problem that has recently gained popularity in the research community. This paper provides a systematic, critical and detailed literature review of the state of the art techniques used in automatic detection of extremism of different forms and in different types of social media. The survey outcome is systematically presented using several dimensions like machine learning techniques used to detect extremism, features and datasets employed in research studies, emerging trends in extremism, limitation of existing work and possible prospects in future. Several findings from the survey have been identified as potential directions for future work. Specifically to mention, spatial-temporal features have not been fully utilized to detect extremism. Such features, if systematically used, can play a very vital role in tracing the location as well as time of promoting extremists activities.
This document provides an executive summary of Meta's first annual human rights report covering 2020-2021. It identifies Meta's most salient human rights risks as: the right to freedom of expression and opinion; the right to privacy; the right to life, liberty and security of the person; and the rights to equality, non-discrimination, public participation, and voting. It outlines Meta's policies and efforts to respect these rights, including through content policies, encryption, responses to government data requests, efforts to address human trafficking, and investments to protect free and fair elections.
Information technology (intermediary guidelines and digital media ethics code...ZahidManiyar
The document summarizes new guidelines for social media and digital media platforms in India. Key points:
- The rules aim to make social media and digital media platforms more accountable for content on their sites and provide grievance redressal mechanisms for users.
- Major platforms like WhatsApp, YouTube, Facebook and Twitter have large user bases in India but need to comply with Indian laws and the constitution.
- The rules establish due diligence requirements for platforms and require grievance officers to resolve complaints within 15 days.
- Platforms must remove content involving nudity, impersonation or privacy violations within 24 hours of complaints.
- The rules distinguish requirements for smaller and larger social media platforms based on
The document discusses several topics related to politics and the internet, including:
1) How interest groups have adapted to the internet by using it to more efficiently communicate and organize supporters beyond just communication.
2) Hacktivism as a form of political action and examples like defacing websites and distributed denial of service attacks.
3) The impact of the internet on election campaigning, such as the Dean campaign's early use of Meetup.com and Daily Kos and differences between US and UK online campaigning.
4) Issues around online political interaction and vote trading websites, and conclusions about the internet's impact on voter apathy and empowerment.
Are you thinking of entering politics? You need to read this and understand the nitty gritty of today's politics to ensure that you WIN and election and not just be another candidate who tried and failed.
Democratic electoral systems around the world are facing ever greater threats of interference enabled by digital technologies that can be used to mislead voters in powerful ways. UCalgary experts examine how collection of voter data, micro-targeting, artificial intelligence and deepfake technologies are being used to influence election outcomes, as well as possible regulatory solutions for safeguarding Canada’s electoral system in the future. Watch the full webinar recording at https://explore.ucalgary.ca/elections-digital-age
1) The artificial intelligence algorithms that suggest or display cont.docxastephen4
1) The artificial intelligence algorithms that suggest or display content on YouTube, Facebook, and other social media sites rely on programmatic rules, making these systems a form of one-to-one marketing CRM metrics rules-based marketing sales funnel management marketing automation 2) Imagine if YouTube and Facebook were government-funded public utilities that didn't rely on advertising revenue and therefore had no need to use marketing analytics to shape ad sales. What effect might this have on the radicalization problem that Zeynep Tufekci describes? It would radicalize people even more because neither platform would be bound by advertising regulations. With no economic incentive to keep people engaged for as long as possible, neither platform would have a reason to serve up radicalizing content. Without the lure of being fed a constant stream of emotionally charged content, people would gradually abandon both platforms. Few people would want to use government-run social media, so neither platform would contribute much to radicalization. 3) How does the practice of marketing analytics contribute to the social media radicalization problems that Zeynep Tufekci describes? By giving social media platforms accurate data on how people respond to online content, these systems can keep suggesting content that is more and more radical. By giving social media platforms accurate data on how people respond to online content, these systems can separate emotional responses from logical responses. The analytics results give consumers more control over the content they see when they visit social media sites. Because no products are being sold from social media platforms themselves, marketing analytics are not relevant here. 4) For advertisers, one of the primary appeals of social media is the phenomenon of community building, in which people with similar interests connect online. In light of what Zeynep Tufekci describes in this video, how are advertisers likely to view "communities of belief" that form around extreme opinions? Advertisers will be extremely cautious about being associated with hate speech and other forms of extremism. Companies will include notices on their YouTube and Facebook ads to say they don't agree with extremist content. Just as much of the U.S. population has done in recent years, most advertisers will align with one side or the other. As the old saying goes, "any publicity is good publicity," so most advertisers won't worry about it. Which of these is the most accurate summary of Zeynep Tufekci's explanation of why YouTube can sometimes "radicalize" viewers by serving up increasingly polarizing content? YouTube is selecting video content based on a person's political preferences. YouTube is effectively censoring some content by encouraging viewers to watch other content, rather than letting them pick their own videos. YouTube is steering viewers toward specific points of view. YouTube is attempting to get people to view more vi.
Leveraging Social Media platforms for effective researchRohit Kumar
This document provides information on leveraging social media platforms for effective research. It discusses the rapid growth of social media usage, with some platforms reaching 50 million users within months. It also notes that by 2020 there will be 1 billion more mobile subscribers than people worldwide. The document then discusses various social media and messaging apps that have seen widespread usage, such as WhatsApp and Facebook Messenger. It also covers how social media research can provide insights into areas like consumer behavior, marketing strategies, and digital commerce trends.
Social Media and Law Enforcement - Presentation by Central Bureau of Investi...Nagarajan M
Social Media and Law Enforcement - Opportunities and Challenges is a presentation by Central Bureau of Investigation. It explains the concepts and dynamics of social media in dealing with crimes. It give a broad overview of the possible scenarios with real life examples from across the world.
Week 10 and 11 - Introduction to assessment 2(1).pdfAbdul Bari Kakar
This document provides an overview of social, political, and ethical issues related to social media marketing. It begins by defining key terms like society and societal. It then discusses how factors like GDPR, cookies, data sharing, and events like Brexit and COVID-19 have impacted societal change. The document outlines various social issues with social media like misinformation, privacy concerns, harassment, and body image issues. It also discusses political issues such as the spread of disinformation, regulation, and the use of influencers in politics. Finally, it examines ethical issues including transparency, targeting of vulnerable groups, and addictive design. The document concludes by introducing an assessment where students will write a 2000-word essay analyzing societal issues of
The document describes a project to detect fake news using machine learning models. It discusses how the project classified news websites as real or fake using a combination of bag-of-words, word embeddings and feature descriptions with 87.39% accuracy. Some ways to improve the model are also provided, such as using more features in the word embeddings. Real-world applications of fake news detection include verifying news on social media during elections and detecting fake job postings.
Comparative Study of Cyberbullying Detection using Different Machine Learning...ijtsrd
The advancement of social media plays an important role in increasing the population of youngsters on the web. And it has become the biggest medium of expressing one’s thoughts and emotions. Recent studies report that cyberbullying constitutes a growing problem among youngsters on the web. These kinds of attacks have a major influence on the current generation’s personal and social life because youngsters are ready to adopt online life instead of a real one, which leads them into an imaginary world. So, we are proposing a system for early detection of cyberbullying on the web and comparing different machine learning Algorithms to obtain the optimal result. We are comparing four different algorithms which can be effectively used for the detection of cyberbullying, with the implementation of the bag of words algorithm with different n gram methods. Comparatively naïve Bayes algorithm has the highest accuracy of 79 with trigram implementation of the bag of words algorithm. Rohini K R | Sreehari T Anil | Sreejith P M | Yedumohan P M "Comparative Study of Cyberbullying Detection using Different Machine Learning Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30765.pdf Paper Url :https://www.ijtsrd.com/computer-science/artificial-intelligence/30765/comparative-study-of-cyberbullying-detection-using-different-machine-learning-algorithms/rohini-k-r
19 जून को बॉम्बे हाई कोर्ट ने विवादित फिल्म ‘हमारे बारह’ को 21 जून को थिएटर में रिलीज करने का रास्ता साफ कर दिया, हालांकि यह सुनिश्चित करने के बाद कि फिल्म निर्माता कुछ आपत्तिजनक अंशों को हटा दें।
19 जून को बॉम्बे हाई कोर्ट ने विवादित फिल्म ‘हमारे बारह’ को 21 जून को थिएटर में रिलीज करने का रास्ता साफ कर दिया, हालांकि यह सुनिश्चित करने के बाद कि फिल्म निर्माता कुछ आपत्तिजनक अंशों को हटा दें।
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This document summarizes an article about the structure of online marketing communications channels. It discusses how marketing is moving toward more individualized interactions rather than mass communications. It also describes how social networking allows quick dissemination of both accurate and misleading information. The document proposes an infrastructure model for studying the emergence and evolution of online communication channels, including core/technological, competitive/commercial, and political/regulatory elements.
The Turing test asked whether one could recognize the behavior of a human from that of a computer algorithm. Today this question has suddenly become very relevant in the context of social media, where text constraints limit the expressive power of humans, and real incentives abound to develop human-mimicking software agents called social bots. These elusive entities wildly populate social media ecosystems, often going unnoticed among the population of real people. Bots can be benign or harmful, aiming at persuading, smearing, or deceiving. Here we discuss the characteristics of modern, sophisticated social bots, and how their presence can endanger online ecosystems and our society. We then discuss current efforts aimed at detection of social bots in Twitter. Characteristics related to content, network, sentiment, and temporal patterns of activity are imitated by bots but at the same time can help discriminate synthetic behaviors from human ones, yielding signatures of engineered social tampering.
Indias brands go_social_insights_from_the_india_social_summit_2012Preeti Chaturvedi
The document summarizes insights from the IndiaSocial summit in April 2012. It discusses how Indian brands are using social media more sophisticatedly and getting results. It provides examples of how brands like Shoppers Stop, Pizza Hut, and Mahindra are using platforms like Facebook and campaigns to engage customers. The summit also touched on challenges of social media measurement and the power of social media to influence reputation.
The rapid rise of online political campaigning has made most political financing regulations obsolete, putting transparency and accountability at risk. Seven in 10 countries worldwide do not have any specific limits on online spending on election campaigns, with six out of 10 not having any restrictions on online political advertising at all.
How china is waging a silent war against india using news apps slideshareWipro Infotech Ltd
Back in February, when I came across an article from Times of India Startups, which says Chinese tech and media companies back news apps in India, where most of the leading News apps are mentioned to…
In issue 08, we examine the crucial nature and value of social data and why it has become essential for brands to perform all functions of branding, marketing and selling to their customers.
A Systematic Survey on Detection of Extremism in Social MediaRSIS International
Extremism is an uncommon feature of a person or a group. These extreme features pertain to beliefs, attitudes, feelings, actions, or strategies, etc. Extremist activities happen on various platforms on the Internet. These platforms are constantly being utilized to spread extremist agenda, influence people and create virtual organizations and communities. Automatic detection of such a level of extremism in social media is a technically challenging problem that has recently gained popularity in the research community. This paper provides a systematic, critical and detailed literature review of the state of the art techniques used in automatic detection of extremism of different forms and in different types of social media. The survey outcome is systematically presented using several dimensions like machine learning techniques used to detect extremism, features and datasets employed in research studies, emerging trends in extremism, limitation of existing work and possible prospects in future. Several findings from the survey have been identified as potential directions for future work. Specifically to mention, spatial-temporal features have not been fully utilized to detect extremism. Such features, if systematically used, can play a very vital role in tracing the location as well as time of promoting extremists activities.
This document provides an executive summary of Meta's first annual human rights report covering 2020-2021. It identifies Meta's most salient human rights risks as: the right to freedom of expression and opinion; the right to privacy; the right to life, liberty and security of the person; and the rights to equality, non-discrimination, public participation, and voting. It outlines Meta's policies and efforts to respect these rights, including through content policies, encryption, responses to government data requests, efforts to address human trafficking, and investments to protect free and fair elections.
Information technology (intermediary guidelines and digital media ethics code...ZahidManiyar
The document summarizes new guidelines for social media and digital media platforms in India. Key points:
- The rules aim to make social media and digital media platforms more accountable for content on their sites and provide grievance redressal mechanisms for users.
- Major platforms like WhatsApp, YouTube, Facebook and Twitter have large user bases in India but need to comply with Indian laws and the constitution.
- The rules establish due diligence requirements for platforms and require grievance officers to resolve complaints within 15 days.
- Platforms must remove content involving nudity, impersonation or privacy violations within 24 hours of complaints.
- The rules distinguish requirements for smaller and larger social media platforms based on
The document discusses several topics related to politics and the internet, including:
1) How interest groups have adapted to the internet by using it to more efficiently communicate and organize supporters beyond just communication.
2) Hacktivism as a form of political action and examples like defacing websites and distributed denial of service attacks.
3) The impact of the internet on election campaigning, such as the Dean campaign's early use of Meetup.com and Daily Kos and differences between US and UK online campaigning.
4) Issues around online political interaction and vote trading websites, and conclusions about the internet's impact on voter apathy and empowerment.
Are you thinking of entering politics? You need to read this and understand the nitty gritty of today's politics to ensure that you WIN and election and not just be another candidate who tried and failed.
Democratic electoral systems around the world are facing ever greater threats of interference enabled by digital technologies that can be used to mislead voters in powerful ways. UCalgary experts examine how collection of voter data, micro-targeting, artificial intelligence and deepfake technologies are being used to influence election outcomes, as well as possible regulatory solutions for safeguarding Canada’s electoral system in the future. Watch the full webinar recording at https://explore.ucalgary.ca/elections-digital-age
1) The artificial intelligence algorithms that suggest or display cont.docxastephen4
1) The artificial intelligence algorithms that suggest or display content on YouTube, Facebook, and other social media sites rely on programmatic rules, making these systems a form of one-to-one marketing CRM metrics rules-based marketing sales funnel management marketing automation 2) Imagine if YouTube and Facebook were government-funded public utilities that didn't rely on advertising revenue and therefore had no need to use marketing analytics to shape ad sales. What effect might this have on the radicalization problem that Zeynep Tufekci describes? It would radicalize people even more because neither platform would be bound by advertising regulations. With no economic incentive to keep people engaged for as long as possible, neither platform would have a reason to serve up radicalizing content. Without the lure of being fed a constant stream of emotionally charged content, people would gradually abandon both platforms. Few people would want to use government-run social media, so neither platform would contribute much to radicalization. 3) How does the practice of marketing analytics contribute to the social media radicalization problems that Zeynep Tufekci describes? By giving social media platforms accurate data on how people respond to online content, these systems can keep suggesting content that is more and more radical. By giving social media platforms accurate data on how people respond to online content, these systems can separate emotional responses from logical responses. The analytics results give consumers more control over the content they see when they visit social media sites. Because no products are being sold from social media platforms themselves, marketing analytics are not relevant here. 4) For advertisers, one of the primary appeals of social media is the phenomenon of community building, in which people with similar interests connect online. In light of what Zeynep Tufekci describes in this video, how are advertisers likely to view "communities of belief" that form around extreme opinions? Advertisers will be extremely cautious about being associated with hate speech and other forms of extremism. Companies will include notices on their YouTube and Facebook ads to say they don't agree with extremist content. Just as much of the U.S. population has done in recent years, most advertisers will align with one side or the other. As the old saying goes, "any publicity is good publicity," so most advertisers won't worry about it. Which of these is the most accurate summary of Zeynep Tufekci's explanation of why YouTube can sometimes "radicalize" viewers by serving up increasingly polarizing content? YouTube is selecting video content based on a person's political preferences. YouTube is effectively censoring some content by encouraging viewers to watch other content, rather than letting them pick their own videos. YouTube is steering viewers toward specific points of view. YouTube is attempting to get people to view more vi.
Leveraging Social Media platforms for effective researchRohit Kumar
This document provides information on leveraging social media platforms for effective research. It discusses the rapid growth of social media usage, with some platforms reaching 50 million users within months. It also notes that by 2020 there will be 1 billion more mobile subscribers than people worldwide. The document then discusses various social media and messaging apps that have seen widespread usage, such as WhatsApp and Facebook Messenger. It also covers how social media research can provide insights into areas like consumer behavior, marketing strategies, and digital commerce trends.
Social Media and Law Enforcement - Presentation by Central Bureau of Investi...Nagarajan M
Social Media and Law Enforcement - Opportunities and Challenges is a presentation by Central Bureau of Investigation. It explains the concepts and dynamics of social media in dealing with crimes. It give a broad overview of the possible scenarios with real life examples from across the world.
Week 10 and 11 - Introduction to assessment 2(1).pdfAbdul Bari Kakar
This document provides an overview of social, political, and ethical issues related to social media marketing. It begins by defining key terms like society and societal. It then discusses how factors like GDPR, cookies, data sharing, and events like Brexit and COVID-19 have impacted societal change. The document outlines various social issues with social media like misinformation, privacy concerns, harassment, and body image issues. It also discusses political issues such as the spread of disinformation, regulation, and the use of influencers in politics. Finally, it examines ethical issues including transparency, targeting of vulnerable groups, and addictive design. The document concludes by introducing an assessment where students will write a 2000-word essay analyzing societal issues of
The document describes a project to detect fake news using machine learning models. It discusses how the project classified news websites as real or fake using a combination of bag-of-words, word embeddings and feature descriptions with 87.39% accuracy. Some ways to improve the model are also provided, such as using more features in the word embeddings. Real-world applications of fake news detection include verifying news on social media during elections and detecting fake job postings.
Comparative Study of Cyberbullying Detection using Different Machine Learning...ijtsrd
The advancement of social media plays an important role in increasing the population of youngsters on the web. And it has become the biggest medium of expressing one’s thoughts and emotions. Recent studies report that cyberbullying constitutes a growing problem among youngsters on the web. These kinds of attacks have a major influence on the current generation’s personal and social life because youngsters are ready to adopt online life instead of a real one, which leads them into an imaginary world. So, we are proposing a system for early detection of cyberbullying on the web and comparing different machine learning Algorithms to obtain the optimal result. We are comparing four different algorithms which can be effectively used for the detection of cyberbullying, with the implementation of the bag of words algorithm with different n gram methods. Comparatively naïve Bayes algorithm has the highest accuracy of 79 with trigram implementation of the bag of words algorithm. Rohini K R | Sreehari T Anil | Sreejith P M | Yedumohan P M "Comparative Study of Cyberbullying Detection using Different Machine Learning Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30765.pdf Paper Url :https://www.ijtsrd.com/computer-science/artificial-intelligence/30765/comparative-study-of-cyberbullying-detection-using-different-machine-learning-algorithms/rohini-k-r
Similar to Meta_AI_ads_investigation.pdfldoljjwejolejolol (20)
19 जून को बॉम्बे हाई कोर्ट ने विवादित फिल्म ‘हमारे बारह’ को 21 जून को थिएटर में रिलीज करने का रास्ता साफ कर दिया, हालांकि यह सुनिश्चित करने के बाद कि फिल्म निर्माता कुछ आपत्तिजनक अंशों को हटा दें।
19 जून को बॉम्बे हाई कोर्ट ने विवादित फिल्म ‘हमारे बारह’ को 21 जून को थिएटर में रिलीज करने का रास्ता साफ कर दिया, हालांकि यह सुनिश्चित करने के बाद कि फिल्म निर्माता कुछ आपत्तिजनक अंशों को हटा दें।
विवादास्पद फिल्म के ट्रेलर से गाली-गलौज वाले दृश्य हटा दिए गए हैं, और जुर्माना लगाया गया है। सुप्रीम कोर्ट और बॉम्बे हाई कोर्ट दोनों ने फिल्म की रिलीज पर रोक लगा दी है और उसे निलंबित कर दिया है। पहले यह फिल्म 7 जून और फिर 14 जून को रिलीज होने वाली थी, लेकिन अब यह 21 जून को रिलीज हो रही है।
केरल उच्च न्यायालय ने 11 जून, 2024 को मंडला पूजा में भाग लेने की अनुमति मांगने वाली 10 वर्षीय लड़की की रिट याचिका को खारिज कर दिया, जिसमें सर्वोच्च न्यायालय की एक बड़ी पीठ के समक्ष इस मुद्दे की लंबित प्रकृति पर जोर दिया गया। यह आदेश न्यायमूर्ति अनिल के. नरेंद्रन और न्यायमूर्ति हरिशंकर वी. मेनन की खंडपीठ द्वारा पारित किया गया
सामूहिक हस्ताक्षर अभियान जो चल रहा है, उसे इंडिया अलायंस के अन्य दलों के नेताओं को भी सूचित किया जाएगा। पत्र याचिका में प्रस्तावित, दूरगामी संशोधनों पर गंभीर संसदीय बहस, कानूनी विशेषज्ञों के साथ परामर्श और संयुक्त संसदीय समिति (जेपीसी) द्वारा जांच का आग्रह किया गया है।
ग्रेटर मुंबई के नगर आयुक्त को एक खुले पत्र में याचिका दायर कर 540 से अधिक मुंबईकरों ने सभी अवैध और अस्थिर होर्डिंग्स, साइनबोर्ड और इलेक्ट्रिक साइनेज को तत्काल हटाने और 13 मई, 2024 की शाम को घाटकोपर में अवैध होर्डिंग के गिरने की विनाशकारी घटना के बाद अपराधियों के खिलाफ सख्त कार्रवाई की मांग की है, जिसमें 17 लोगों की जान चली गई और कई निर्दोष लोग गंभीर रूप से घायल हो गए।
सुप्रीम कोर्ट ने यह भी माना था कि मजिस्ट्रेट का यह कर्तव्य है कि वह सुनिश्चित करे कि अधिकारी पीएमएलए के तहत निर्धारित प्रक्रिया के साथ-साथ संवैधानिक सुरक्षा उपायों का भी उचित रूप से पालन करें।
10 जून, 2024 को देर शाम ईमेल और रजिस्टर्ड पोस्ट के ज़रिए शिवसेना (यूबीटी) के उम्मीदवार अमोल कीर्तिकर ने मुंबई के उत्तर पश्चिम निर्वाचन क्षेत्र से ईसीआई द्वारा घोषित चुनाव परिणामों को चुनौती दी है
10 जून, 2024 को देर शाम ईमेल और रजिस्टर्ड पोस्ट के ज़रिए शिवसेना (यूबीटी) के उम्मीदवार अमोल कीर्तिकर ने मुंबई के उत्तर पश्चिम निर्वाचन क्षेत्र से ईसीआई द्वारा घोषित चुनाव परिणामों को चुनौती दी है
‘वोटर्स विल मस्ट प्रीवेल’ (मतदाताओं को जीतना होगा) अभियान द्वारा जारी हेल्पलाइन नंबर, 4 जून को सुबह 7 बजे से दोपहर 12 बजे तक मतगणना प्रक्रिया में कहीं भी किसी भी तरह के उल्लंघन की रिपोर्ट करने के लिए खुला रहेगा।
हम आग्रह करते हैं कि जो भी सत्ता में आए, वह संविधान का पालन करे, उसकी रक्षा करे और उसे बनाए रखे।" प्रस्ताव में कुल तीन प्रमुख हस्तक्षेप और उनके तंत्र भी प्रस्तुत किए गए। पहला हस्तक्षेप स्वतंत्र मीडिया को प्रोत्साहित करके, वास्तविकता पर आधारित काउंटर नैरेटिव का निर्माण करके और सत्तारूढ़ सरकार द्वारा नियोजित मनोवैज्ञानिक हेरफेर की रणनीति का मुकाबला करके लोगों द्वारा निर्धारित कथा को बनाए रखना और उस पर कार्यकरना था।
पिछले दो सप्ताहों में, बेंगलुरु और दिल्ली में, दो राष्ट्रीय स्तर की बैठकों ने भारत के वर्तमान चुनाव आयोग (ईसीआई) की स्वतंत्र कार्यप्रणाली में विश्वास में कमी के कारण मतगणना की निगरानी करने के अपने इरादे की घोषणा की है। #VotersWillMustPrevail एक सामूहिक आंदोलन है जो अगले कुछ हफ्तों में और तेज होगा जो लोकतंत्र के लिए महत्वपूर्ण है। जन संगठन, किसान और श्रमिक समूह के अलावा सार्वजनिक बुद्धिजीवी इस प्रयास का हिस्सा हैं जो अगले कुछ हफ्तों में अपने काम को तेज करेगा।
विरोध प्रदर्शन के माध्यम से, महिला, दलित, किसान, अल्पसंख्यक, पिछड़े समुदाय, लैंगिक अल्पसंख्यक, वैज्ञानिक आंदोलन, छात्र और युवा आंदोलन से संबंधित संगठन हसन शहर में विरोध प्रदर्शन करेंगे और रेवन्ना का पासपोर्ट रद्द करने, पीड़ितों की गरिमा की रक्षा की मांग करेंगे।
18वीं लोकसभा के लिए चल रहे चुनाव के बीच, कलकत्ता उच्च न्यायालय ने चुनाव आयोग को निर्देश दिया कि चुनाव पूरा होने तक सत्तारूढ़ पार्टी (भाजपा) को टीएमसी के खिलाफ किसी भी प्रकार के विज्ञापन प्रकाशित करने और मीडिया के किसी भी रूप में ऐसे विज्ञापन प्रकाशित करने से रोका जाता है
Embed-3-1-1.pdf The ECI direction on April 2, 2024 can be read here:bhavenpr
18वीं लोकसभा के लिए चल रहे चुनाव के बीच, कलकत्ता उच्च न्यायालय ने चुनाव आयोग को निर्देश दिया कि चुनाव पूरा होने तक सत्तारूढ़ पार्टी (भाजपा) को टीएमसी के खिलाफ किसी भी प्रकार के विज्ञापन प्रकाशित करने और मीडिया के किसी भी रूप में ऐसे विज्ञापन प्रकाशित करने से रोका जाता है
#WenguiGuo#WashingtonFarm Guo Wengui Wolf son ambition exposed to open a far...rittaajmal71
Since fleeing to the United States in 2014, Guo Wengui has founded a number of projects in the United States, such as GTV Media Group, GTV private equity, farm loan project, G Club Operations Co., LTD., and Himalaya Exchange.
Why We Chose ScyllaDB over DynamoDB for "User Watch Status"ScyllaDB
Yichen Wei and Adam Drennan share the architecture and technical requirements behind "user watch status" for a major global media streaming service, what that meant for their database, the pros and cons of the many options they considered for replacing DynamoDB, why they ultimately chose ScyllaDB, and their lessons learned so far.
13062024_First India Newspaper Jaipur.pdfFIRST INDIA
Find Latest India News and Breaking News these days from India on Politics, Business, Entertainment, Technology, Sports, Lifestyle and Coronavirus News in India and the world over that you can't miss. For real time update Visit our social media handle. Read First India NewsPaper in your morning replace. Visit First India.
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12062024_First India Newspaper Jaipur.pdfFIRST INDIA
Find Latest India News and Breaking News these days from India on Politics, Business, Entertainment, Technology, Sports, Lifestyle and Coronavirus News in India and the world over that you can't miss. For real time update Visit our social media handle. Read First India NewsPaper in your morning replace. Visit First India.
CLICK:- https://firstindia.co.in/
#First_India_NewsPaper
projet de traité négocié à Istanbul (anglais).pdfEdouardHusson
Ceci est le projet de traité qui avait été négocié entre Russes et Ukrainiens à Istanbul en mars 2022, avant que les Etats-Unis et la Grande-Bretagne ne détournent Kiev de signer.
Federal Authorities Urge Vigilance Amid Bird Flu Outbreak | The Lifesciences ...The Lifesciences Magazine
Federal authorities have advised the public to remain vigilant but calm in response to the ongoing bird flu outbreak of highly pathogenic avian influenza, commonly known as bird flu.
16062024_First India Newspaper Jaipur.pdfFIRST INDIA
Find Latest India News and Breaking News these days from India on Politics, Business, Entertainment, Technology, Sports, Lifestyle and Coronavirus News in India and the world over that you can't miss. For real time update Visit our social media handle. Read First India NewsPaper in your morning replace. Visit First India.
CLICK:- https://firstindia.co.in/
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Slide deck with charts from our Digital News Report 2024, the most comprehensive exploration of news consumption habits around the world, based on survey data from more than 95,000 respondents across 47 countries.
18062024_First India Newspaper Jaipur.pdfFIRST INDIA
Find Latest India News and Breaking News these days from India on Politics, Business, Entertainment, Technology, Sports, Lifestyle and Coronavirus News in India and the world over that you can't miss. For real time update Visit our social media handle. Read First India NewsPaper in your morning replace. Visit First India.
CLICK:- https://firstindia.co.in/
#First_India_NewsPaper
15062024_First India Newspaper Jaipur.pdfFIRST INDIA
Find Latest India News and Breaking News these days from India on Politics, Business, Entertainment, Technology, Sports, Lifestyle and Coronavirus News in India and the world over that you can't miss. For real time update Visit our social media handle. Read First India NewsPaper in your morning replace. Visit First India.
CLICK:- https://firstindia.co.in/
#First_India_NewsPaper
Recent years have seen a disturbing rise in violence, discrimination, and intolerance against Christian communities in various Islamic countries. This multifaceted challenge, deeply rooted in historical, social, and political animosities, demands urgent attention. Despite the escalating persecution, substantial support from the Western world remains lacking.
Christian persecution in Islamic countries has intensified, with alarming incidents of violence, discrimination, and intolerance. This article highlights recent attacks in Nigeria, Pakistan, Egypt, Iran, and Iraq, exposing the multifaceted challenges faced by Christian communities. Despite the severity of these atrocities, the Western world's response remains muted due to political, economic, and social considerations. The urgent need for international intervention is underscored, emphasizing that without substantial support, the future of Christianity in these regions is at grave risk.
https://ecspe.org/the-rise-of-christian-persecution-in-islamic-countries/
Shark Tank Jargon | Operational ProfitabilityTheUnitedIndian
Don't let fancy business words confuse you! This blog is your cheat sheet to understanding the Shark Tank Jargon. We'll translate all the confusing terms like "valuation" (how much the company is worth) and "royalty" (a fee for using someone's idea). You'll be swimming with the Sharks like a pro in no time!
1. As India election underway, Meta approves
series of violent, inflammatory, Islamophobic
AI-generated ads targeting voters
Meta approves 14 ads calling for the killing of Muslims, execution of a key
opposition party leader, and pushing stop-the-steal-style narratives during the
official election 'silence' period.
Meta's failing to detect and block ads containing AI-generated images promoting
hate speech, election disinformation, and incitement to violence, recent research by
corporate accountability group, Ekō, in collaboration with India Civil Watch
International has found.
These alarming findings emerge in the midst of India’s critical elections. Researchers
have already uncovered a network of bad actors weaponizing Meta ads to spread
hate speech and disinformation to millions of voters in India, with Meta directly
profiting. During this second phase of the investigation, which coincided with phases
3 and 4 of India's 7-phase election and encompassed 189 constituencies,
researchers targeted ads to highly contentious districts that were entering a "silence
period". This silence period requires a pause on all election-related advertising. The
experiment exposes Meta's failure to potentially comply with Indian election laws,
which impose restrictions on advertisements at different phases of the electoral
process. It also reveals that Meta is unequipped to detect and label AI generated
ads, despite its new policy committing to do so, and its utter failure to stamp out
hate speech and incitement to violence - in direct breach of its own policies.
Between May 8th and May 13th, Meta approved 14 highly inflammatory ads. These
ads called for violent uprisings targeting Muslim minorities, disseminated blatant
disinformation exploiting communal or religious conspiracy theories prevalent in
India's political landscape, and incited violence through Hindu supremacist
narratives. One approved ad also contained messaging mimicking that of a recently
doctored video of Home Minister Amit Shah threatening to remove affirmative action
2. policies for oppressed caste groups, which has led to notices and arrests of BJP
opposition party functionaries.
Accompanying each ad text were manipulated images generated by AI image tools,
proving how quickly and easily this new technology can be deployed to amplify
harmful content. Meta’s systems did not block researchers posting political and
incendiary ads during the election “silence period”. The process of setting up the
Facebook accounts was extremely simple and researchers were able to post these
ads from outside of India.
“Silence period”
During the election "silence period," which lasts 48 hours before polling begins and
extends until voting concludes in each of India’s seven phases, India's Election
Commission prohibits any individual or group posting advertisements or
disseminating election materials.
Despite the Election Commission's regulations outlined in India's Model Code of
Conduct, reports have shown that political parties, and especially the ruling
Bharatiya Janata Party (BJP) and far-right networks aligned with the party, have
failed to comply. Political parties are investing substantial sums in advertising
campaigns on social media platforms, utilizing hyper-targeted digital
advertisements to sway voters. According to a study conducted by Lokniti-CSDS, the
BJP has been responsible for the majority of these "silence period" ads, with the
opposition party Congress also running many.
Meta ads are monetizing content calling for executions,
burning of Muslims, and supremacist violence
In total, 14 out of 22 ads were approved by Meta within 24 hours; all of the approved
ads broke Meta’s own policies on hate speech, bullying and harassment,
misinformation, and violence and incitement.
3. ● Several ads targeted BJP opposition parties with messaging on their alleged
Muslim “favoritism”, a popular conspiracy pushed by India’s far-right.
● Other ads played on fears of India being swarmed by Muslim “invaders”, a
popular dog whistle targeting Indian Muslims. With one ad claiming that
Muslims attacked India’s Ram temple and that Muslims must be burned.
● Two ads pushed a ‘stop the steal’ narrative, claiming electronic voting
machines were being destroyed, followed by calls for a violent uprising.
● Multiple ads used Hindu supremacist language to vilify Muslims, going further
with calls for burning Muslims.
● One ad called for the execution of a prominent lawmaker claiming their
allegiance to Pakistan.
● One ad used a conspiracy theory made popular by BJP opposition parties
about a lawmaker removing affirmative action policies for oppressed caste
groups.
● Each ad was accompanied by a manipulated image created with widely used
AI image tools Stable Diffusion, Midjourney, and Dall-e. For example, Ekō
researchers were able to easily generate images showing a person burning
an electronic voting machine, drone footage of immigrants crowding India’s
border crossing, as well as notable Hindu and Muslim places of worship on fire.
The ads were placed in English, Hindi, Bengali, Gujarati, and Kannada.
Five ads were rejected for breaking Meta’s Community Standards policy issues
regarding hate speech and violence and incitement. An additional three ads were
submitted and rejected on the basis that they may qualify as social issue, electoral
or politics ads, but they were not rejected on the basis of hate speech, inciting
violence, or for spreading disinformation. Meta requires accounts running political
ads to get authorized first by confirming their identity and creating a disclaimer that
lists who is paying for the ads, which was not possible on the Facebook accounts in
this experiment, as researchers used dummy Facebook accounts located outside of
India. However, Ekō, ICWI, and Foundation the London Story's recent investigation
revealed that far-right networks aligned with the BJP are not only failing to comply
with the Election Commission's regulations outlined in India's Model Code of Conduct,
4. but are also using loopholes to avoid restrictions around these disclaimers,
indicating a breach of Meta’s ad transparency policy.
Meta Fails to Detect and Label Generative AI Content in
Political Ads
Before India’s election, Meta promised that it would prioritize the detection and
removal of violative AI generated content, recognizing “the concerns around the
misuse of AI-generated content to spread misinformation”. Meta also claims to be
building tools to label AI generated images from third-parties that users post to their
platforms. Additionally, Meta requires advertisers globally to “disclose when they use
AI or digital methods to create or alter a political or social issue ad”.
However, Meta's approval of inflammatory ads, coupled with its failure to detect or
label any of the ads in this investigation as AI-generated content, underscores that
the platform is ill-equipped to deal with AI-generated disinformation. Despite
assurances of safeguards to ensure responsible use of new technologies like
generative AI and investments in third-party fact-checkers, the reality paints a
different picture.
Moreover, the platform's reactive approach to disinformation and its inability to
effectively address and label AI-generated content highlight systemic shortcomings
in its content moderation. Meta has publicly boasted about the company’s large
team of content reviewers as well as significant investments in safety and security.
However, for years civil society, whistleblowers, and experts have warned that Meta's
moderation practices are inadequate in identifying and addressing harmful content,
especially moderating content in languages other than English, as well as allegations
of political bias to the ruling BJP.
Vulnerabilities in Meta’s automated ad review system
Researchers also probed the efficacy of Facebook’s automated reviews on
advertisements in order to mimic bad actors and exploit vulnerabilities within
Facebook's algorithms. In this experiment, despite certain ads being flagged as
5. inciteful, researchers found that by making slight adjustments to the ads,
researchers could circumvent Facebook's scrutiny. Motivated actors operating with
larger numbers and agility and with the intent to disseminate disinformation and
incite violence could very likely identify and exploit new weaknesses in the platform's
automated review.
For example, a variant of an ad inciting violence against Muslims and advocating for
the burning of their places of worship was permitted to pass through the platform's
filters after adjusting a handful of words or generating a different image. These
adjustments were made within minutes, and the revised ads were tested and
cleared in less than 12 hours. For motivated and organized bad actors, uncovering
and exploiting such loopholes would likely be a straightforward task.
When will Meta get a grip on election disinformation?
The ads in this investigation served as a stress test of Meta's systems, aiming to
illuminate its deficiencies. However, they were created based upon real hate speech
and disinformation prevalent in India, underscoring the capacity of social media
platforms to amplify existing harmful narratives.
Despite ample evidence of systemic failures and tangible harms documented over
the years, Meta has failed to implement substantial corrective measures. Ads
containing highly inflammatory hate speech, violent rhetoric, and disinformation
continue to pass through its approval system. Despite Meta's claims of prioritizing the
detection, labeling, and removal of violative AI-generated content, this investigation
indicates otherwise. Every approved ad featured manipulated AI-generated content
without any corresponding label, reinforcing concerns from independent experts’
that social media companies are not equipped to deal with the risks posed by
generative AI spreading disinformation.
Concerns about the erosion of India's democracy, and the success of far-right and
anti-democratic actors in exploiting Meta’s platforms, have prompted alarm among
both Indian and international civil society groups. Meta's failure to safeguard
elections undermines decades of efforts by citizens, policymakers, and courts in India
6. to promote transparent and accountable democratic practices. By facilitating the
dissemination of election disinformation and conspiracy theories, Meta has enabled
groups to sow discord and, at times, incite real-world violence, as evidenced in
recent events in the US and Brazil. India has also suffered from the violent
consequences of disinformation. In 2020, over 50 people, the majority of whom were
Muslims, were killed in riots that erupted in Delhi, with Facebook having fueled the
hate narratives and violence.
In April, dozens of groups called on social media platforms to stop the proliferation of
disinformation and hate speech during India’s elections. With specific calls on Meta
to take proactive measures to enforce India’s political advertising silence period and
implement comprehensive measures to uphold human rights during India’s
elections, aiming to curb the flood of election-related disinformation.
Recommendations
Meta must urgently follow the recommendations of 30+ Indian and international
civil society organizations by:
● Adopting election silence period: Ahead of India's 2024 general elections,
social media corporations should make sure they do not profit from hateful,
dis-informative, or partisan content, and adopt an election silence period, in
accordance with Indian laws which impose a mandatory election silence
period of 48 hours prior to voting.
● Ensuring transparency by vetting who they are receiving money from: Social
media corporations should ensure transparency by disclosing financial
information relating to paid online advertisements, and in accordance with
India’s election laws regulating campaign finance, establish a strict corporate
policy limiting political advertising.
● Banning shadow advertisers: It is imperative that social media town squares
are not ceded to bad actors utilizing divisive and hateful rhetoric with
malicious intent, or to singular political parties to promote partisan agendas.
Therefore, social media corporations should ban the proxy and shadow
advertisers who cannot be vetted as legal persons.
7. ● Ensuring that fact-checkers in India can label misinformative and
disinformative advertisements: Social media corporations should apply rules
equally to advertising and organic content, to prevent financial incentives for
harmful content.
● Ensuring fact-checked information is correctly labelled and/or removed in
all languages: Ensure that fact-checking labels are placed for content
regardless of the languages that the fact-checked content appears in.
● Ensuring that dehumanizing, caricaturing, demonizing of minorities in India
is checked and restricted in line with the platform’s hate speech policy:
Social media corporations should ensure that their policies on hate speech
and disinformation adequately reflect the gravity of religiously coloured and
communal content in India, and the way in which people react to inciteful
content, across Indian society, from those with greater education and
socio-economic capital to those with little..
● Proactively acting to restrict re-spawning disinformation and hate speech
pages and profiles
● Removing the political exemption on hate speech and viral disinformation:
Social media corporations should ensure that no content, including by political
candidates, violates Indian domestic law on hate speech and incitement to
violence, and election rules more broadly..
● Allocating resources proportionately to the user-market: Social media
corporations should allocate budget in proportion to the risk of harm, and
adequate to the number of people at risk in those contexts..
● Shutting down the recommender system and make your algorithms open
for public audits by civil societies and academia: Social media corporations
should shut down recommender algorithms in their platform systems based
on personal data and personal behavioral profiling.
Methodology
Researchers set up new Facebook accounts and created a series of ads
incorporating prevalent disinformation narratives within India’s current
socio-political landscape. Each ad was accompanied by a manipulated image
generated by AI image tools such as Dall-E, Midjourney, and Stable Diffusion. The
8. researchers targeted these ads to multiple districts entering the election "silence
period" during Phases 3 and 4 of the electoral process. These districts included
Madhya Pradesh, Assam, Karnataka, Andhra Pradesh, Telangana, and
Indian-occupied Kashmir. The researchers scheduled the ads to run during the
“silence period” and tracked which ads were successfully scheduled. All of the ads
were removed by the researchers before publication, ensuring that they were never
seen by Facebook users.
Annex: Meta's response to findings from the report
“Thank you for your email informing us about the report and giving us the
opportunity to provide further information about our relevant policies. I would like to
begin by requesting that you share with us details on any content, paid or otherwise,
that you believe may be in violation of our hate speech, violence and incitement,
misinformation or other policies. We will investigate and take appropriate action
against any policy-violating content that you bring to our attention.
In response to your questions, we hope you’ll find the following resources useful:
● People that want to run ads about elections or politics must go through the
authorization process required on our platforms and are responsible for
complying with all applicable laws. When we find content, including ads, that
violates our Community Standards or Community Guidelines, we remove it,
regardless of its creation mechanism. AI generated content is also eligible to
be reviewed and rated by our network of independent fact-checkers. Once a
content is labeled as “Altered” we reduce its distribution. An overview of the
ads review process can be found here, and detail on our approach to
AI-generated content, including labeling, can be found here.
● We also require advertisers globally to disclose when they use AI or digital
methods to create or alter a political or social issue ad in certain cases. This
applies if the ad contains a photorealistic image or video, or realistic sounding
audio, that was digitally created or altered to depict a real person as saying or
doing something they did not say or do. It also applies if an ad depicts a
realistic-looking person that does not exist or a realistic-looking event that did
9. not happen, alters footage of a real event, or depicts a realistic event that
allegedly occurred, but that is not a true image, video, or audio recording of
the event. An overview of our policies on ads about social issues, elections or
politics can be found here, and information about our policies on the use of AI
in political or social issues ads in the elections context can be found here.
● Details about our preparations for the India Elections can be found here. The
Election Commission of India has access to a high priority channel to flag
content that may be in violation of election laws, and we take down any
potentially violating ads escalated to us by the Commission during silence
periods. Political advertisers who share content on Facebook are responsible
for complying with the law.
Lastly, I’d like to draw your attention to the fact that Meta — along with 20+ other
technology companies — signed on to the “Tech Accord to Combat Deceptive Use of
AI in 2024 Elections.” This is a set of commitments to deploy technology countering
harmful AI-generated content meant to deceive voters. You can find more on this
effort here.”