A presentation aimed at working Indian journalists on social media tools and skills that aid in finding eyewitnesses and expert sources, as well as ways to involve readers in the stories they report. Delivered in September 2014.
An overview of tips, tricks, pitfalls and workflows for verifying images and videos from eyewitnesses on social media, presented by Storyful at News Xchange in Berlin on Oct. 30, 2015.
Pointers for verifying tips, facts and images gathered via social media; and case studies that demonstrate why this is important. By Craig Silverman and Mandy Jenkins for presentation at the Online News Association Conference. If the links don't work for you, they are listed separately at http://bit.ly/qlVJxD
Evaluating Real World Information (NJLA 2018)Megan Dempsey
Presented at the 2018 New Jersey Library Association Annual Conference. Discusses examples of misinformation and distorted information found online and a method for thinking critically about the information we encounter.
Big Tech & Disinformation: What are the main threats and how can journalists ...Scott A. Hale
Dr Scott A Hale presented these slides at the 2019 News Impact Summit in Lyon, France, hosted by The European Journalism Centre and Google News Initiative
https://newsimpact.io/summits/news-impact-summit-lyon
A presentation aimed at working Indian journalists on social media tools and skills that aid in finding eyewitnesses and expert sources, as well as ways to involve readers in the stories they report. Delivered in September 2014.
An overview of tips, tricks, pitfalls and workflows for verifying images and videos from eyewitnesses on social media, presented by Storyful at News Xchange in Berlin on Oct. 30, 2015.
Pointers for verifying tips, facts and images gathered via social media; and case studies that demonstrate why this is important. By Craig Silverman and Mandy Jenkins for presentation at the Online News Association Conference. If the links don't work for you, they are listed separately at http://bit.ly/qlVJxD
Evaluating Real World Information (NJLA 2018)Megan Dempsey
Presented at the 2018 New Jersey Library Association Annual Conference. Discusses examples of misinformation and distorted information found online and a method for thinking critically about the information we encounter.
Big Tech & Disinformation: What are the main threats and how can journalists ...Scott A. Hale
Dr Scott A Hale presented these slides at the 2019 News Impact Summit in Lyon, France, hosted by The European Journalism Centre and Google News Initiative
https://newsimpact.io/summits/news-impact-summit-lyon
Not-so-obvious Online Data Sources for Demographic ResearchIngmar Weber
Slides from ICWSM'17 workshop on Social Media for Demographic Research (https://sites.google.com/site/smdrworkshop/program). Data sets include Facebook's ad audience estimates, Google Correlate, online genealogy and much more. Contact Ingmar directly to learn more.
Big Data and the Social Sciences
Ex-Google engineer Abe Usher presents a talk about Big Data technology and methods applicable to social science.
Participants will learn techniques that are used by Google engineers to collect, clean, analyze, and visualize Big Data.
Additionally Mr. Usher will provide URLs to sample data, open source applications, and code to those interested in applying these Big Data methods themselves.
Growth hacking is a marketing technique developed by technology startups which uses creativity, analytical thinking, and social metrics to sell products and gain exposure. It can be seen as part of the online marketing ecosystem, as in many cases growth hackers are simply good at using techniques such as search engine optimization, website analytics, content marketing and A/B testing which are already mainstream. Growth hackers focus on low-cost and innovative alternatives to traditional marketing, e.g. utilizing social media and viral marketing instead of buying advertising through more traditional media such as radio, newspaper, and television. Growth hacking is particularly important for startups, as it allows for a "lean" launch that focuses on "growth first, budgets second. "Facebook, Twitter, LinkedIn, AirBnB and Dropbox are all companies that use growth hacking techniques.
Digital Demography - WWW'17 Tutorial - Part IIIngmar Weber
Second part of a tutorial given at WWW'17 (http://www2017.com.au/) on Digital Demography. More information about the tutorial at https://sites.google.com/site/digitaldemography/. Please reference the archival tutorial description (at http://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/companion/p935.pdf) when using the material.
This is an invited talk I presented at the University of Zurich, speakers' series 2.10.2017. The presentation is based on the following paper: Brandtzaeg, P. B., & Følstad, A. (2017). Trust and distrust in online fact-checking services. Communications of the ACM. 60(9): 65-71
From traditional to online fact-checking - Il fact checking dalla tradizione ...Federico Guerrini
Slides of the presentation I gave at the Reuters Institute for the Study of Journalism. If you find difficult to follow the slides without oral explanation, a recap of the content can be found in the following article I wrote for the Oxford Magazine:
http://en.ejo.ch/7658/ethics/traditional-online-fact-checking (English)
http://it.ejo.ch/9860/etica/fact-checking-tradizione-rete-giornalismo (Italian)
http://de.ejo-online.eu/9907/ethik-qualitatssicherung/9907 (Deutsch)
Presented at the Florida Library Association annual conference on April 7, 2010, by Britta Krabill, Susan Ariew, Gina Clifford, and Catherine Lavallée-Welch.
HOW TO FIND STORIES BY NEWSGATHERING AND MONITORING THE SOCIAL WEBJavier334441
Nowadays, a lot of information (both accurate and false) is being shared on Social Media.
The Social Web is a goldmine full of opportunities for journalist’s to find stories if used correctly.
Knowing how to navigate through tons of information and filter the right one to reach real, faultless, stories is an essential skill for the journalists of the present.
The past decade or so has seen such rapid advances in supervised deep learning and neural networks that those areas, and machine learning more generally, have become almost synonymous with AI especially in popular media. However, there are other broad areas of research that have fed into AI historically and continue to be important today.
In this talk, Red Hat’s Gordon Haff will place machine learning within this set of broader science and engineering specialties that include cognitive psychology, control theory, linguistics, and human factors. The goal is to provide attendees with a broader context for both learning and applying cross-disciplinary fields of study to their AI-related work.
What makes fake news fake? As a society, we have been bombarded with the idea that the news we consume every day is fabricated, but the truth is far more complicated than that. Join Indiana University East librarian KT Lowe as she discusses the identifiable traits of fake news, offers tips on how to tackle fake news claims and demonstrates what makes real news real.
Not-so-obvious Online Data Sources for Demographic ResearchIngmar Weber
Slides from ICWSM'17 workshop on Social Media for Demographic Research (https://sites.google.com/site/smdrworkshop/program). Data sets include Facebook's ad audience estimates, Google Correlate, online genealogy and much more. Contact Ingmar directly to learn more.
Big Data and the Social Sciences
Ex-Google engineer Abe Usher presents a talk about Big Data technology and methods applicable to social science.
Participants will learn techniques that are used by Google engineers to collect, clean, analyze, and visualize Big Data.
Additionally Mr. Usher will provide URLs to sample data, open source applications, and code to those interested in applying these Big Data methods themselves.
Growth hacking is a marketing technique developed by technology startups which uses creativity, analytical thinking, and social metrics to sell products and gain exposure. It can be seen as part of the online marketing ecosystem, as in many cases growth hackers are simply good at using techniques such as search engine optimization, website analytics, content marketing and A/B testing which are already mainstream. Growth hackers focus on low-cost and innovative alternatives to traditional marketing, e.g. utilizing social media and viral marketing instead of buying advertising through more traditional media such as radio, newspaper, and television. Growth hacking is particularly important for startups, as it allows for a "lean" launch that focuses on "growth first, budgets second. "Facebook, Twitter, LinkedIn, AirBnB and Dropbox are all companies that use growth hacking techniques.
Digital Demography - WWW'17 Tutorial - Part IIIngmar Weber
Second part of a tutorial given at WWW'17 (http://www2017.com.au/) on Digital Demography. More information about the tutorial at https://sites.google.com/site/digitaldemography/. Please reference the archival tutorial description (at http://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/companion/p935.pdf) when using the material.
This is an invited talk I presented at the University of Zurich, speakers' series 2.10.2017. The presentation is based on the following paper: Brandtzaeg, P. B., & Følstad, A. (2017). Trust and distrust in online fact-checking services. Communications of the ACM. 60(9): 65-71
From traditional to online fact-checking - Il fact checking dalla tradizione ...Federico Guerrini
Slides of the presentation I gave at the Reuters Institute for the Study of Journalism. If you find difficult to follow the slides without oral explanation, a recap of the content can be found in the following article I wrote for the Oxford Magazine:
http://en.ejo.ch/7658/ethics/traditional-online-fact-checking (English)
http://it.ejo.ch/9860/etica/fact-checking-tradizione-rete-giornalismo (Italian)
http://de.ejo-online.eu/9907/ethik-qualitatssicherung/9907 (Deutsch)
Presented at the Florida Library Association annual conference on April 7, 2010, by Britta Krabill, Susan Ariew, Gina Clifford, and Catherine Lavallée-Welch.
HOW TO FIND STORIES BY NEWSGATHERING AND MONITORING THE SOCIAL WEBJavier334441
Nowadays, a lot of information (both accurate and false) is being shared on Social Media.
The Social Web is a goldmine full of opportunities for journalist’s to find stories if used correctly.
Knowing how to navigate through tons of information and filter the right one to reach real, faultless, stories is an essential skill for the journalists of the present.
The past decade or so has seen such rapid advances in supervised deep learning and neural networks that those areas, and machine learning more generally, have become almost synonymous with AI especially in popular media. However, there are other broad areas of research that have fed into AI historically and continue to be important today.
In this talk, Red Hat’s Gordon Haff will place machine learning within this set of broader science and engineering specialties that include cognitive psychology, control theory, linguistics, and human factors. The goal is to provide attendees with a broader context for both learning and applying cross-disciplinary fields of study to their AI-related work.
What makes fake news fake? As a society, we have been bombarded with the idea that the news we consume every day is fabricated, but the truth is far more complicated than that. Join Indiana University East librarian KT Lowe as she discusses the identifiable traits of fake news, offers tips on how to tackle fake news claims and demonstrates what makes real news real.
Social Media Analysis for Government CommunicatorsAndrew Einhorn
Understanding how to measure and analyze your communications is difficult. The first step lay in realizing the rich data sources you can tap into from digital & social media. This presentation provides an overview of the types of data and analyses government communicators, public affairs officers, and politicos can use to learn more about the public response to their messaging, programs, and services.
Keynote delivered at ACM Hypertext conference on 6th of September 2023.
Abstract: You’re probably getting a bit worn out from all these talks about misinformation and Twitter-based experiments. The fact that Twitter is now called Platform X is probably not enough of a change to keep you awake during my talk! But I think, or hope, to bring up a few things in this talk that you might not have come across or thought about much before. I believe that having fact-checks that call out false or misleading claims is very important in our fight against misinformation. But we’re still not quite sure if and how they impact the spread of wrong information and how they could help set things right online. So, in this talk, I’ll dive into how we’re all prone to falling for misinformation and make a case for needing data and tools to help us see how both ourselves and others engage with false or unreliable information over long periods of time. I’ll also share what we’ve learnt from our research about how these fact-checks affect how wrong info spreads, and I’ll give you the scoop on what happened when we tried using automatic replies to correct misinforming posts on Twitter, oops, I mean platform X. If all of this still feels like old news to you, well, there’s always that email inbox to keep you awake during my keynote.
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 ...
Dr Scott A Hale introduced and facilitated discussion on the latest research updates and research needs at the Trusted Media Summit in December 2019. This summit brought together media organizations throughout APAC.
En su conferencia, "Government 2.0.: Opportunities and challenges", Jane Fountain enseña las consecuencias del uso de herramientas tecnológicas de comunicación en la campaña y la administración de Barack Obama. 12-02-2010
Vídeo relacionado:
http://bit.ly/dp0bvx
You have to response to bellow postalso I gave exaple of som.docxlaquandabignell
You have to response to bellow post
also I gave exaple of someone, who already respond to this Fourm
POST by Will
Data collection is key to enforcing a position on a given subject. This position may be to disprove a current belief or to add proof to why it is a fact. One of the main focuses in data correlation is to filter through large collections of collected data with the goal of finding instances where the collected data can further support your stance or viewpoint. Once data has been attributed towards your goal, it has gone from being obtuse to usable.
For instance, focus groups provide a multitude of members to get opinions about a given topic,(Ranjit Kumar, 2014, Research Methodology, pg 193). These opinions can be based on experience, preference, or simply provide a sample group to demonstrate public opinion on a matter.
The downside to focus groups is that the choice of the group can be used to dissuade public opinion much like the public feels that many news groups are (Gallup, 2018, Americans See More News Bias). Have you ever watched the news or a late night show and wondered why there are slack jawed yokels giving their opinion on a situation? It's not that the news agency or show host didn't interview more intelligent people, it is that they purposefully left out the data that did not support their case or point of view. Look at the Jimmy Kimmel Live skit on What's your Password, (Jimmy Kimmel, 2017, What's your Password?). In this skit, several people are interviewed, and every one of them is demonstrating a very poor personal policy in regards to password strength. Many of them admitted what their password was on air, and some who didn't release it at first fell victim to basic phishing techniques.
Another shortfall to this method is where the groups are chosen from. If you are trying to support a conservative concept, it is probably not a good idea to pull your focus group sampling from Los Angeles, or New York as these cities trend towards a more liberal nature and opinion.
For the references I used, there are both qualitative and quantitative references. The Gallup article for instance included a pole of 19,196 adults from all 50 US states whom were 18 and older, (Gallup, 2018, Americans See More News Bias). It also represents a secondary source as the data collected from it was provided by a mass media source being Gallup and its data collection of analytics. The Jimmy Kimmel reference on the other hand was a qualitative article in that the interviewer could ask about personal password protection methods in any way they wanted. It wasn't focused in regards to the questions, but the finality was in support of the opinion that there are a large multitude of people who fail to use good password etiquette in their home. It is also the example of a primary source in that the data collector is focused on proving that people are terrible with passwords.
As far as my paper goes, my primary so ...
Kami Watson Huyse and Geoff Livingston's powerpoint on Integration Social Media into a larger marketing plan. Presented on April 22 at NewComm Forum 2008.
Social Media Training at AED by Eric Schwartzman. This is Day 2 of a 2-Day Seminar delivered on Nov. 10, 2010 in Wqshington, D.C. Feel free to use this deck but please credit www.ericschwartzman.com
What is algorithmic bias, and what does it mean for an algorithm to be fair or unfair? This talk explores fair decision making in the context of criminal justice, lending, hiring, and so on, providing both intuitions and their connection to legal and mathematical principles. It describes the basic frameworks of "allocative fairness," that is, fairness when giving out a benefit or a punishment.
Talk video and more at http://jonathanstray.com/introduction-to-algorithmic-bias
A talk at Code for America HQ in San Francisco.
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
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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!
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
18. Given a sentence T does it “entail” a hypotheses H?
In other words, would a human reading T believe that H is true?
Active area of NLP research.
For fact checking:
• Matching existing checks: does the claim entail the claim in the fact
check?
• Finding false statements: Is there evidence entails the claim or its
negation?
Claim checking: entailment