Dataset Open Access

Evidence of a coordinated network amplifying inauthentic narratives in the 2020 election

Pik-Mai Hui; Filippo Menczer

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  <identifier identifierType="DOI">10.5281/zenodo.4050225</identifier>
      <creatorName>Pik-Mai Hui</creatorName>
      <affiliation>Indiana University Bloomington</affiliation>
      <creatorName>Filippo Menczer</creatorName>
      <affiliation>Indiana University Bloomington</affiliation>
    <title>Evidence of a coordinated network amplifying inauthentic narratives in the 2020 election</title>
    <subject>social media</subject>
    <subject>Turning Point Action</subject>
    <date dateType="Issued">2020-09-24</date>
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    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;On 15 September 2020, the Washington Post published an article by Isaac Stanley-Becker titled &amp;ldquo;&lt;a href=""&gt;Pro-Trump youth group enlists teens in secretive campaign likened to a &amp;lsquo;troll farm,&amp;rsquo; prompting rebuke by Facebook and Twitter&lt;/a&gt;.&amp;rdquo; The article reported on a preliminary analysis we conducted at the request of The Post. Here we would like to share the dataset used in our analysis with the research community.&lt;/p&gt;

&lt;p&gt;Our Observatory on Social Media at Indiana University has been studying &lt;a href=""&gt;social media manipulation&lt;/a&gt; and &lt;a href=""&gt;online misinformation&lt;/a&gt; for over ten years. We uncovered the first known instances of &lt;a href=""&gt;astroturf campaigns&lt;/a&gt;, &lt;a href=""&gt;social bots&lt;/a&gt;, and &lt;a href=""&gt;fake news&lt;/a&gt; websites during the 2010 US midterm election, long before these phenomena became widely known in 2016. We develop public, state-of-the art network and data science methods and &lt;a href=""&gt;tools&lt;/a&gt;, such as &lt;a href=""&gt;Botometer&lt;/a&gt;, &lt;a href=""&gt;Hoaxy&lt;/a&gt;, and &lt;a href=""&gt;BotSlayer&lt;/a&gt;, to help researchers, journalists, and civil society organizations study coordinated inauthentic campaigns. So when Stanley-Becker contacted us about accounts posting identical political content on Twitter, we were happy to apply our &lt;a href=""&gt;analytical framework&lt;/a&gt; to map out what was going on.&amp;nbsp;&lt;/p&gt;</description>
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