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Ad Fontes Media, Inc. is a Colorado-based, media watchdog, public benefit corporation [1] primarily known for its Media Bias Chart, which rates media sources in terms of political bias and reliability. The organization was founded in 2018 by patent attorney Vanessa Otero with the goal of combating political polarization and media bias.
AllSides Technologies Inc. is an American company that estimates the perceived political bias of content on online written news outlets. AllSides presents different versions of similar news stories from sources it rates as being on the political right, left, and center, with a mission to show readers news outside their filter bubble and expose media bias.
Ad Fontes Media and AllSides have assessed ideological biases of online sources to produce media bias charts, and presents similar stories from different perspectives. [ 244 ] [ 245 ] Accuracy in Media and Media Research Center have a conservative bent while Fairness and Accuracy in Reporting (FAIR) and Media Matters for America work from a ...
Media bias occurs when journalists and news producers show bias in how they report and cover news. The term "media bias" implies a pervasive or widespread bias contravening of the standards of journalism, rather than the perspective of an individual journalist or article. [1] The direction and degree of media bias in various countries is widely ...
Media Bias/Fact Check (MBFC) is an American website founded in 2015 by Dave M. Van Zandt. [1] It considers four main categories and multiple subcategories in assessing the "political bias" and "factual reporting" of media outlets, [2] [3] relying on a self-described "combination of objective measures and subjective analysis".
In 2017, Attkisson created a media bias chart that was reused by right-wing blog PJ Media [43] and characterized as "a bastardization" of that produced by Ad Fontes Media. [44] According to PolitiFact, this chart "labels anything not overtly conservative as 'left'".
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Reviewed by Bri and Tilman Bayer. A Nature paper titled "Online Images Amplify Gender Bias" [1] studies: "gender associations of 3,495 social categories (such as 'nurse' or 'banker') in more than one million images from Google, [English] Wikipedia and Internet Movie Database (IMDb), and in billions of words from these platforms"