Dataset Open Access

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

Pik-Mai Hui; Filippo Menczer


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Pik-Mai Hui</dc:creator>
  <dc:creator>Filippo Menczer</dc:creator>
  <dc:date>2020-09-24</dc:date>
  <dc:description>On 15 September 2020, the Washington Post published an article by Isaac Stanley-Becker titled “Pro-Trump youth group enlists teens in secretive campaign likened to a ‘troll farm,’ prompting rebuke by Facebook and Twitter.” 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.

Our Observatory on Social Media at Indiana University has been studying social media manipulation and online misinformation for over ten years. We uncovered the first known instances of astroturf campaigns, social bots, and fake news 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 tools, such as Botometer, Hoaxy, and BotSlayer, 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 analytical framework to map out what was going on. </dc:description>
  <dc:identifier>https://zenodo.org/record/4050225</dc:identifier>
  <dc:identifier>10.5281/zenodo.4050225</dc:identifier>
  <dc:identifier>oai:zenodo.org:4050225</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.4050224</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/osome</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>social media</dc:subject>
  <dc:subject>Turning Point Action</dc:subject>
  <dc:subject>Twitter</dc:subject>
  <dc:subject>Trolling</dc:subject>
  <dc:title>Evidence of a coordinated network amplifying inauthentic narratives in the 2020 election</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
191
19
views
downloads
All versions This version
Views 191191
Downloads 1919
Data volume 29.0 MB29.0 MB
Unique views 167167
Unique downloads 1919

Share

Cite as