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      Black Trolls Matter: Racial and Ideological Asymmetries in Social Media Disinformation

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          Abstract

          The recent rise of disinformation and propaganda on social media has attracted strong interest from social scientists. Research on the topic has repeatedly observed ideological asymmetries in disinformation content and reception, wherein conservatives are more likely to view, redistribute, and believe such content. However, preliminary evidence has suggested that race may also play a substantial role in determining the targeting and consumption of disinformation content. Such racial asymmetries may exist alongside, or even instead of, ideological ones. Our computational analysis of 5.2 million tweets by the Russian government-funded “troll farm” known as the Internet Research Agency sheds light on these possibilities. We find stark differences in the numbers of unique accounts and tweets originating from ostensibly liberal, conservative, and Black left-leaning individuals. But diverging from prior empirical accounts, we find racial presentation—specifically, presenting as a Black activist—to be the most effective predictor of disinformation engagement by far. Importantly, these results could only be detected once we disaggregated Black-presenting accounts from non-Black liberal accounts. In addition to its contributions to the study of ideological asymmetry in disinformation content and reception, this study also underscores the general relevance of race to disinformation studies.

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          Disinformation as Political Communication

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              Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign

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                Author and article information

                Journal
                Social Science Computer Review
                Social Science Computer Review
                SAGE Publications
                0894-4393
                1552-8286
                April 07 2020
                : 089443932091485
                Affiliations
                [1 ]University of North Carolina at Chapel Hill, NC, USA
                [2 ]University of Copenhagen, Denmark
                [3 ]Boston University, MA, USA
                [4 ]University of Wisconsin–Madison, WI, USA
                Article
                10.1177/0894439320914853
                e673430f-118a-4211-ab72-35a23f7489b4
                © 2020

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

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