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      The speech we miss: How keyword-based data collection obscures youth participation in online political discourse

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          Abstract

          In this work, we leverage a panel of over 1.6 million Twitter users matched with public voter records to assess how a standard keyword-based approach to social media data collection performs in the context of participatory politics, and we critically examine the speech this method leaves behind. We find that keyword classifiers undercount young people’s participation in online political discourse, and that valuable political expression is lost in the process. We argue that a mainstream keyword approach to collecting social media data is not well-suited to the participatory politics associated with young people and may reinforce a false perception of youth political apathy as a result.

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          Author and article information

          Contributors
          Journal
          CCR
          Computational Communication Research
          Amsterdam University Press (Amsterdam )
          2665-9085
          2665-9085
          2023
          : 5
          : 1
          : 1
          Affiliations
          Network Science Institute, Northeastern University, Boston, MA
          School of Communication and Information, Rutgers University New Brunswick
          Network Science Institute, Northeastern University, Boston, MA
          Network Science Institute, Northeastern University, Boston, MA
          College of Arts, Media, and Design, Northeastern University, Boston
          Article
          10.5117/CCR2023.1.11.GITO
          10.5117/CCR2023.1.11.GITO
          c05fc411-ac1a-480a-ae99-5db52cfcbf44
          © 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.

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          keyword classifiers,participatory politics,online discourse

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