6
views
0
recommends
+1 Recommend
3 collections
    0
    shares

      To submit to the journal, click here

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      How COVID-19 and the News Shaped Populism in Facebook Comments in Seven European Countries. : A Computational Analysis.

      research-article

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Citizen-generated populism is flourishing in the comments sections of online news. The factors that shape the extent of such populist communication from below are still under-researched. This study focuses on the COVID-19 crisis to examine how contextual and media-related factors are related to the extent of populism in comment sections on Facebook pages of news outlets from seven European countries (AT, DE, FR, IT, NL, SE and UK). Computational text analysis, machine translation and Bayesian multilevel regression were used to analyze digital trace data from 65,258 posts and 3.4 million comments published between February 2020 and June 2021. The computational measurements - multilingual dictionaries for posts and distributed dictionary representation to capture populism in comments - were rigorously validated. The results show that posts referring to the government, experts, COVID-19, and restrictions exhibit higher levels of populism in the comments sections. The stringency of containment policies was positively associated with populism in Germany, Austria, and the Netherlands when COVID-19 was mentioned. Lower levels of populism were observed for tabloid media and when news outlets engaged in visible moderation. The implications of these findings beyond the pandemic context and methodological challenges are discussed.

          Related collections

          Author and article information

          Contributors
          Journal
          CCR
          Computational Communication Research
          Amsterdam University Press (Amsterdam )
          2665-9085
          2665-9085
          2024
          : 6
          : 1
          : 1
          Affiliations
          Freie Universität Berlin, Weizenbaum Institute Berlin
          Article
          10.5117/CCR2024.1.2.THIE
          10.5117/CCR2024.1.2.THIE
          877ab762-c0e7-43a7-be8e-de3aca4acc46
          © The author(s)

          This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

          History
          Categories
          Article

          populism,user comments,word embeddings,computational text analysis,multilingual,social media,COVID-19

          Comments

          Comment on this article