Media Bias/Fact Check
Media Bias/Fact Check (MBFC) is a website founded in 2015 by editor Dave Van Zandt[1] that rates news media sources based on factual accuracy and political bias.[3][4]
Founded | 2015 |
---|---|
Headquarters | Greensboro, North Carolina |
Owner | Dave Van Zandt[1] |
URL | mediabiasfactcheck |
Alexa rank | |
Current status | Active |
Methodology
Sites are rated on a 0-10 scale by Van Zandt and his team using categories such as biased wording and headlines, factuality and sourcing, and story choices.[3]
Reception
The Columbia Journalism Review describes Media Bias/Fact Check as an amateur attempt at categorizing media bias and Van Zandt as an "armchair media analyst."[3] The Poynter Institute notes, "Media Bias/Fact Check is a widely cited source for news stories and even studies about misinformation, despite the fact that its method is in no way scientific."[5] Alexandra Kitty, in a 2018 book on journalism, described MBFC as an apparent "amateur/civic outfit" and wrote that its founder's only qualification was a degree in communications.[4]
The site has been used by researchers at the University of Michigan to create a tool called the "Iffy Quotient", which draws data from Media Bias/Fact Check and NewsWhip to track the prevalence of "fake news" and questionable sources on social media.[6][7] The site was also used by a research group at the Massachusetts Institute of Technology in initial training of an AI to fact check and detect the bias on a website.[8][9]
See also
References
- "About". Media Bias/Fact Check. Retrieved 2019-03-30.
- "mediabiasfactcheck.com Competitive Analysis, Marketing Mix and Traffic". Alexa Internet. Retrieved 2020-04-24.
- Tamar Wilner (January 9, 2018). "We can probably measure media bias. But do we want to?". Columbia Journalism Review.
- Kitty, Alexandra (2018). When Journalism was a Thing. Zero Books. p. 158.
- "Here's what to expect from fact-checking in 2019". Poynter.org. 2018-12-18. Retrieved 2018-12-30.
- Dian Schaffhauser. "U-M Tracker Measures Reliability of News on Facebook, Twitter -- Campus Technology". Campus Technology. Retrieved 2018-12-03.
- Paul Resnick; Aviv Ovadya; Garlin Gilchrist. "Iffy Quotient: A Platform Health Metric for Misinformation" (PDF). School of Information - Center for Social Media Responsibility. University of Michigan. p. 5.
- Verger, Rob (2018-10-04). "This AI can help spot biased websites and false news". Popular Science. Retrieved 2019-01-01.
- Ramy Baly; Georgi Karadzhov; Dimitar Alexandrov; James Glass; Preslav Nakov (2018). "Predicting Factuality of Reporting and Bias of News Media Sources". Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Brussels, Belgium: Association for Computational Linguistics. pp. 3528–3539.