Data & Society — Deepfakes and Cheap Fakes “New media technologies do not inherently change how evidence works in society. What they do is provide new opportunities for the negotiation of expertise, and therefore power.” — Britt Paris and Joan Donovan Coining the term “cheap fakes,” Paris and Donovan demonstrate that the creation of successfully deceptive media has never necessarily required advanced processing technologies, such as today’s machine learning tools. A “deepfake” is a video that has been altered through some form of machine learning to “hybridize or generate human bodies and faces,” whereas a “cheap fake” is an AV manipulation created with cheaper, more accessible software (or, none at all). Cheap fakes can be rendered through Photoshop, lookalikes, re-contextualizing footage, speeding, or slowing. Thanks to social media, both kinds of AV manipulation can now be spread at unprecedented speeds.
All About AllSides AllSides Balanced News News from the Left News from the Center News from the Right Don’t be fooled by media bias and fake news. Fake News: Recommendations - Media Literacy Clearinghouse If you read any news story about “fake news” in the past two years, you no doubt came across the phrase “media literacy.” From the various news stories and blog posts, I have compiled the following recommendations and advice. (NOTE: lesson plans, handouts and related videos are posted near the bottom of this list) Newest materials are posted last. WinterSchool2020HatersGonnaHate < Dmi < Foswiki Team Members in alphabetical order Berenika BalcerMatthias BeckerNika BorovskikhAnniek de KoningMarta EspunyVeronica FanzioHarry FebrianVania FerreiraClaudia GlobischTamar HellingaAdriana MunteanuLeonardo SannaNoemi SchiaviHannah SmythJob Vossen Contents 1. Introduction In April 2018, Mark Zuckerberg promised that Facebook AI system would be able to detect hate speech automatically within his platform. In fact, over the past years the problem has become increasingly urgent for the company, to such an extent that recently political groups and pages have started being deplatformed.
Information disorder: The essential glossary Trying to follow the national conversation about “fake news” and the spread of bad information online can be confusing because not everybody is using the same vocabulary. Claire Wardle, a research fellow at Harvard’s Shorenstein Center on Media, Politics and Public Policy, has created a glossary to help everyone understand certain words and phrases and how terms that may seem quite similar actually have very different meanings. For example, disinformation is false information meant to cause harm while misinformation is false information that might cause harm, although not deliberately. Below, we provide a copy of Wardle’s “Information Disorder: The Essential Glossary,” with her permission. Her work is based on research collected by Shorenstein Center researchers Grace Greason, Joe Kerwin and Nic Dias. Definitions and terminology matter.
DmiSummerSchool < Dmi < Foswiki 2020: Social media manipulation: from artificial amplification to inauthentic behaviour2019: “Trolls, bots and dictators” - On the current state of social media research2018: Retraining the Machine: Addressing Algorithmic Bias2017: Get the Picture. Digital Methods for Visual Research2016: Only Connect? A Critical Appraisal of Connecting Practices in the Age of Social Media2015: Post-Snowden Media Empiricism and Secondary Social Media: Data Studies Beyond Facebook and Twitter 2014: On Geolocation: Remote event analysis (Mapping conflicts, disasters, elections and other events with online and social media data)2013: You are not the API I used to know: On the challenges of studying social media data 2012: Reality mining, and the limits of digital methods2011: After Cyberspace: Data-rich Media2010: Foundations for Online Research with Digital Methods2009: Studying the Web with the Web?
How biased is your news source? You probably won’t agree with this chart Are we even aware of our biases anymore? If you look at this chart and are convinced your “extreme” source belongs in the middle, you just might be part of the problem plaguing America today. “In the past, national evening news programs, local evening news programs, and the front pages of print newspapers were dominated by fact-reporting stories,” says the chart’s creator, patent attorney Vanessa Otero. “Now, however, many sources people consider to be ‘news sources’ are actually dominated by analysis and opinion pieces.” She released the first version of the chart back in 2016, and she’s updated it several times since.
bigthink Polarized, unreliable news can be dangerous during turbulent times, such as the coronavirus pandemic. The Ad Fontes' Media Bias Chart maps out the biases and reliability of legacy and alternative news organizations. Political bias is one of many we must be wary of when judging the quality of the news we consume. The New York Times was a failing newspaper before changing its business model to muckraking on Trump.
The (almost) complete history of 'fake news' Image copyright Alamy In record time, the phrase morphed from a description of a social media phenomenon into a journalistic cliche and an angry political slur. How did the term "fake news" evolve - and what's next in the world of disinformation? Top 5 Chats and Forums Websites In The World The most popular forum websites are focused on technology. Other popular forum sites include game sites and home/hobby sites that cover topics like photography and cooking. We’ve chosen five of the best chat and forums where you can ask questions, find info, and share your own stories. How to tell if you’re talking to a bot Twitter recently took drastic action as part of an effort to slow the spread of misinformation through its platform, shutting down more than two million automated accounts, or bots. But Twitter shuttered only the most egregious, and obvious, offenders. You can expect the tricksters to up their game when it comes to disguising fake users as real ones. It’s important not to be swayed by fake accounts or waste your time arguing with them, and identifying bots in a Twitter thread has become a strange version of the Turing test. Accusing posters of being bots has even become an oddly satisfying way to insult their intelligence.
Fake News: Recommendations - Media Literacy Clearinghouse If you read any news story about “fake news” in the past 18 months, you no doubt came across the phrase “media literacy.” From the various news stories and blog posts, I have compiled the following recommendations and advice. (NOTE: lesson plans, handouts and related videos are posted near the bottom of this list) Newest materials are posted last.
Breaking News Consumer's Handbook: Fake News Edition - On The Media BROOKE GLADSTONE: Drawing a distinction between fake and real news is going to be hard for those Facebook and Google employees tasked with bird dogging offending sites, but it shouldn’t be so hard for you, the consumer. Melissa Zimdars, professor of communication and media at Merrimack College, has made a list of more than a hundred problematic news sites, along with tips for sorting out the truthful from the troublesome. She got into the fake news sorting racket after a hot tip. MELISSA ZIMDARS: Someone alerted me to the fact that when you searched for the popular vote on Google, the first Google news item that came up was a fake news website saying that Hillary Clinton lost the popular vote.