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      Trends in the diffusion of misinformation on social media

      1 , 2 , 3
      Research & Politics
      SAGE Publications

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          Abstract

          In recent years, there has been widespread concern that misinformation on social media is damaging societies and democratic institutions. In response, social media platforms have announced actions to limit the spread of false content. We measure trends in the diffusion of content from 569 fake news websites and 9540 fake news stories on Facebook and Twitter between January 2015 and July 2018. User interactions with false content rose steadily on both Facebook and Twitter through the end of 2016. Since then, however, interactions with false content have fallen sharply on Facebook while continuing to rise on Twitter, with the ratio of Facebook engagements to Twitter shares decreasing by 60%. In comparison, interactions with other news, business, or culture sites have followed similar trends on both platforms. Our results suggest that the relative magnitude of the misinformation problem on Facebook has declined since its peak.

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          Most cited references5

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          The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs About Politics

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            The spread of medical fake news in social media – The pilot quantitative study

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              Fake news and ideological polarization

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                Author and article information

                Journal
                Research & Politics
                Research & Politics
                SAGE Publications
                2053-1680
                2053-1680
                May 21 2019
                April 2019
                May 09 2019
                April 2019
                : 6
                : 2
                : 205316801984855
                Affiliations
                [1 ]New York University, Microsoft Research, and NBER, USA
                [2 ]Stanford University and NBER, USA
                [3 ]Stanford University, USA
                Article
                10.1177/2053168019848554
                cba34982-5906-41fb-b17e-eafaaa5d84a2
                © 2019

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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