Dataset Open Access

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

Pik-Mai Hui; Filippo Menczer

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  "description": "<p>On 15 September 2020, the Washington Post published an article by Isaac Stanley-Becker titled &ldquo;<a href=\"\">Pro-Trump youth group enlists teens in secretive campaign likened to a &lsquo;troll farm,&rsquo; prompting rebuke by Facebook and Twitter</a>.&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.</p>\n\n<p>Our Observatory on Social Media at Indiana University has been studying <a href=\"\">social media manipulation</a> and <a href=\"\">online misinformation</a> for over ten years. We uncovered the first known instances of <a href=\"\">astroturf campaigns</a>, <a href=\"\">social bots</a>, and <a href=\"\">fake news</a> 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 <a href=\"\">tools</a>, such as <a href=\"\">Botometer</a>, <a href=\"\">Hoaxy</a>, and <a href=\"\">BotSlayer</a>, 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 <a href=\"\">analytical framework</a> to map out what was going on.&nbsp;</p>", 
  "license": "", 
  "creator": [
      "affiliation": "Indiana University Bloomington", 
      "@type": "Person", 
      "name": "Pik-Mai Hui"
      "affiliation": "Indiana University Bloomington", 
      "@type": "Person", 
      "name": "Filippo Menczer"
  "url": "", 
  "datePublished": "2020-09-24", 
  "version": "1.0", 
  "keywords": [
    "social media", 
    "Turning Point Action", 
  "@context": "", 
  "distribution": [
      "contentUrl": "", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
  "identifier": "", 
  "@id": "", 
  "@type": "Dataset", 
  "name": "Evidence of a coordinated network amplifying inauthentic narratives in the 2020 election"
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