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      Why do people spread false information online? The effects of message and viewer characteristics on self-reported likelihood of sharing social media disinformation

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      PLoS ONE
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          Abstract

          Individuals who encounter false information on social media may actively spread it further, by sharing or otherwise engaging with it. Much of the spread of disinformation can thus be attributed to human action. Four studies (total N = 2,634) explored the effect of message attributes (authoritativeness of source, consensus indicators), viewer characteristics (digital literacy, personality, and demographic variables) and their interaction (consistency between message and recipient beliefs) on self-reported likelihood of spreading examples of disinformation. Participants also reported whether they had shared real-world disinformation in the past. Reported likelihood of sharing was not influenced by authoritativeness of the source of the material, nor indicators of how many other people had previously engaged with it. Participants’ level of digital literacy had little effect on their responses. The people reporting the greatest likelihood of sharing disinformation were those who thought it likely to be true, or who had pre-existing attitudes consistent with it. They were likely to have previous familiarity with the materials. Across the four studies, personality (lower Agreeableness and Conscientiousness, higher Extraversion and Neuroticism) and demographic variables (male gender, lower age and lower education) were weakly and inconsistently associated with self-reported likelihood of sharing. These findings have implications for strategies more or less likely to work in countering disinformation in social media.

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          Most cited references31

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          The spread of true and false news online

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            An effect size primer: A guide for clinicians and researchers.

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              Fake news on Twitter during the 2016 U.S. presidential election

              The spread of fake news on social media became a public concern in the United States after the 2016 presidential election. We examined exposure to and sharing of fake news by registered voters on Twitter and found that engagement with fake news sources was extremely concentrated. Only 1% of individuals accounted for 80% of fake news source exposures, and 0.1% accounted for nearly 80% of fake news sources shared. Individuals most likely to engage with fake news sources were conservative leaning, older, and highly engaged with political news. A cluster of fake news sources shared overlapping audiences on the extreme right, but for people across the political spectrum, most political news exposure still came from mainstream media outlets.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                7 October 2020
                2020
                : 15
                : 10
                : e0239666
                Affiliations
                [001]School of Social Sciences, University of Westminster, London, United Kingdom
                Beihang University, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-8994-2939
                Article
                PONE-D-20-16848
                10.1371/journal.pone.0239666
                7541057
                33027262
                291f4e9d-75b9-423c-ab08-390574990d80
                © 2020 Tom Buchanan

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 June 2020
                : 10 September 2020
                Page count
                Figures: 0, Tables: 21, Pages: 33
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Award ID: ES/N009614/1
                Award Recipient :
                This work was funded by an award to TB from the Centre for Research and Evidence on Security Threats (ESRC Award: ES/N009614/1). https://crestresearch.ac.uk The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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                All files are available from the UK Data Service archive (doi: 10.5255/UKDA-SN-854297).

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