Media Bias/Fact Check
|Headquarters||Greensboro, North Carolina|
|Owner||Dave Van Zandt|
Media Bias/Fact Check (MBFC) is an American website founded in 2015 by editor Dave Van Zandt. The website has been described as an amateur effort to rate news media sources based on factual accuracy and political bias.
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.
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". 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."
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. 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.
- "About". Media Bias/Fact Check. Retrieved 2019-03-30.
- Tamar Wilner (January 9, 2018). "We can probably measure media bias. But do we want to?". Columbia Journalism Review.
- Funke, Daniel; Mantzarlis, Alexios (December 18, 2018). "Here's what to expect from fact-checking in 2019". Poynter.
- 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.