Media Bias/Fact Check

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Named as an outlet of "Fake News" by PropOrNot.

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The MBFC take on Wikispooks as of December 2019
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Started: November 2015
Founder: Dave Van Zandt

In its own words:
"Dedicated to educating the public on media bias and deceptive news practices"
Constitutes: “fact checker”

Main focus: fake news, bias, media

Media Bias/Fact Check (MBFC) is a "fact checker" which scores websites on "conspiracy level", "pseudo-sci level" and "left- or right wing bias", and by quality of factual reporting. MBFC has browser extensions for both Firefox and Chrome.

Official narrative

MBFC reports that it was started by Dave Van Zandt[1] in 2015[2] and has some volunteers who perform source research, writing and assist in fact checking. Van Zandt has a small internet footprint.[3]


The Atlantic Council have used data from MBFC.[citation needed] Researchers at the University of Michigan used MBFC to create the "Iffy Quotient", which draws data from Media Bias/Fact Check and NewsWhip to track "fake news" on social media.[4][5] The site was also used by a research group at the Massachusetts Institute of Technology in initial training of an AI to do "fact checking" and detect the bias of a website.[6]


An image from the critical report by the Palmer Report

Various sites have criticised MFBC.[7] The Palmer Report published an article in April 2017 entitled Scam site “Media Bias Fact Check” caught cribbing its ratings from Wikipedia.[8]

The Poynter Institute, itself recommended by MFBC, wrote that "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."[9]

The site was #2 on a list of Zero Hedge's Top 9 “fakest ‘fake-news’ checkers.”[3]

Trusted websites

MBFC's most trusted fact checking websites, as of December 2019, were, FactChecker, Flack Check, Hoax-Slayer, Open Secrets, PolitiFact, Poynter Institute, Snopes, Sunlight Foundation and Truth or Fiction.[10]

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  3. a b
  4. Dian Schaffhauser. "U-M Tracker Measures Reliability of News on Facebook, Twitter — Campus Technology". Campus Technology. Retrieved 2018-12-03.Page Module:Citation/CS1/styles.css must have content model "Sanitized CSS" for TemplateStyles (current model is "CSS").
  5. 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.Page Module:Citation/CS1/styles.css must have content model "Sanitized CSS" for TemplateStyles (current model is "CSS").
  6. Verger, Rob (2018-10-04). "This AI can help spot biased websites and false news". Popular Science. Retrieved 2019-01-01.Page Module:Citation/CS1/styles.css must have content model "Sanitized CSS" for TemplateStyles (current model is "CSS").