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  1. May 2020
  2. psyarxiv.com psyarxiv.com
    Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections
    1
    1. edampf 29 May 2020
      in BehSci

      Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (2020, April 14). Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections. https://doi.org/10.31234/osf.io/tfs7c

      is:preprint lang:en dynamics latent topic analysis network model text mining time embedding social media troll USA election 2016 right-wing left-wing simulation modeling Russia Twitter research
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    Tags

    • is:preprint
    • time embedding
    • simulation
    • research
    • troll
    • left-wing
    • text mining
    • social media
    • election
    • dynamics
    • latent topic analysis
    • lang:en
    • Russia
    • Twitter
    • 2016
    • modeling
    • right-wing
    • USA
    • network model

    Annotators

    • edampf

    URL

    psyarxiv.com/tfs7c/
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