Media Bias/Fact Check: Difference between revisions
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'''''Media Bias/Fact Check''''' ('''MBFC''') is an American website founded in 2015 by editor Dave M. Van Zandt.<ref name="about">{{Cite web |url=https://mediabiasfactcheck.com/about/ |title=About |publisher=Media Bias/Fact Check |access-date=2019-03-30}}</ref> It uses a 0–10 scale to rate sites on two areas: bias and factual accuracy. It has been criticised for its [[methodology]] and accuracy.<ref name=":0" /> |
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== Methodology == |
== Methodology == |
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Revision as of 15:29, 20 December 2022
 | This article's factual accuracy is disputed. (October 2022) |
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| Founded | 2015 |
|---|---|
| Headquarters | Greensboro, North Carolina |
| Owner | Dave M. Van Zandt[1] |
| URL | mediabiasfactcheck |
| Current status | Active |
Methodology
Van Zandt and his team use a 0–10 scale to rate sites for biased wording, headlines, actuality, sourcing, story choices, and political affiliation. There is a criterion for factual accuracy based on failed fact checks.[2] The group has also sorted hundreds of web pages into the ideological categories of: Left, Left Center, Least Biased, Right Center, and Right.[3] Van Zandt admits he is not an expert and that "his methods are not rigorously objective."[4]
Usage
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.[5][6][7]
Reception
According to Daniel Funke and Alexios Mantzarlis of the Poynter Institute, "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."[8] In 2018, the Columbia Journalism Review identified Media Bias/Fact Check as "an armchair media analysis."[9] Additionally, the Columbia Journalism Review described Media Bias/Fact Check as an amateur attempt at categorizing media bias and characterized their assessments as "subjective assessments [that] leave room for human biases, or even simple inconsistencies, to creep in".[2] A study published in Scientific Reports wrote: "While [Media Bias/Fact Check's] credibility is sometimes questioned, it has been regarded as accurate enough to be used as ground-truth for e.g. media bias classifiers, fake news studies, and automatic fact-checking systems."[10]
See also
References
- ^ Cite error: The named reference
aboutwas invoked but never defined (see the help page). - ^ a b Tamar Wilner (January 9, 2018). "We can probably measure media bias. But do we want to?". Columbia Journalism Review.
- ^ Thomas J. Main (February 1, 2022). "Both the Right and Left Have Illiberal Factions. Which Is More Dangerous?". The Bulwark. Retrieved February 18, 2022.
- ^ Heffer, Chris (2020-10-01). All Bullshit and Lies?: Insincerity, Irresponsibility, and the Judgment of Untruthfulness. Oxford University Press. p. 103. doi:10.1093/oso/9780190923280.001.0001. ISBN 978-0-19-092328-0.
- ^ 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.
- ^ 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.
- ^ Funke, Daniel; Mantzarlis, Alexios (December 18, 2018). "Here's what to expect from fact-checking in 2019". Poynter.
- ^ Albarracin, Dolores; Albarracin, Julia; Chan, Man-pui Sally; Jamieson, Kathleen Hall (2021). Creating Conspiracy Beliefs: How Our Thoughts Are Shaped. Cambridge University Press. p. 130. doi:10.1017/9781108990936. ISBN 978-1-108-84578-6.
- ^ Chołoniewski, Jan; Sienkiewicz, Julian; Dretnik, Naum; Leban, Gregor; Thelwall, Mike; Hołyst, Janusz A. (2020). "A calibrated measure to compare fluctuations of different entities across timescales". Scientific Reports. 10 (1): 20673. doi:10.1038/s41598-020-77660-4. ISSN 2045-2322. PMC 7691371. PMID 33244096.