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=\"https://www.washingtonpost.com/politics/turning-point-teens-disinformation-trump/2020/09/15/c84091ae-f20a-11ea-b796-2dd09962649c_story.html\">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=\"https://theconversation.com/misinformation-on-social-media-can-technology-save-us-69264\">social media manipulation</a> and <a href=\"https://theconversation.com/misinformation-and-biases-infect-social-media-both-intentionally-and-accidentally-97148\">online misinformation</a> for over ten years. We uncovered the first known instances of <a href=\"http://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/view/2850\">astroturf campaigns</a>, <a href=\"https://cacm.acm.org/magazines/2016/7/204021-the-rise-of-social-bots/fulltext\">social bots</a>, and <a href=\"http://doi.org/10.1126/science.aao2998\">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=\"https://osome.iu.edu/tools/\">tools</a>, such as <a href=\"https://botometer.osome.iu.edu/\">Botometer</a>, <a href=\"https://hoaxy.iuni.iu.edu/\">Hoaxy</a>, and <a href=\"https://osome.iu.edu/tools/botslayer/\">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=\"https://arxiv.org/abs/2001.05658\">analytical framework</a> to map out what was going on.&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Indiana University Bloomington", 
      "@type": "Person", 
      "name": "Pik-Mai Hui"
    }, 
    {
      "affiliation": "Indiana University Bloomington", 
      "@type": "Person", 
      "name": "Filippo Menczer"
    }
  ], 
  "url": "https://zenodo.org/record/4050225", 
  "datePublished": "2020-09-24", 
  "version": "1.0", 
  "keywords": [
    "social media", 
    "Turning Point Action", 
    "Twitter", 
    "Trolling"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/85af989b-2c44-482d-9bbd-17fcc4de5931/data.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.4050225", 
  "@id": "https://doi.org/10.5281/zenodo.4050225", 
  "@type": "Dataset", 
  "name": "Evidence of a coordinated network amplifying inauthentic narratives in the 2020 election"
}
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