The speech we miss

How keyword-based data collection obscures youth participation in online political discourse

Authors

DOI:

https://doi.org/10.5117/CCR2023.1.11.GITO

Keywords:

keyword classifiers, participatory politics, online discourse

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.

Author Biographies

Adina Gitomer, Network Science Institute, Northeastern University, Boston, MA

PhD Student at the Network Science Institute at Northeastern University

Sarah Shugars, School of Communication and Information, Rutgers University New Brunswick

Assistant Professor at the Rutgers University School of Communication and Information

Ryan J. Gallagher, Network Science Institute, Northeastern University, Boston, MA

PhD Candidate at the Network Science Institute at Northeastern University

Stefan McCabe, Network Science Institute, Northeastern University, Boston, MA

PhD Candidate at the Network Science Institue at Northeastern University

Brooke Foucault Welles, College of Arts, Media, and Design, Northeastern University, Boston

Associate Dean for Research for the College of Arts, Media, and Design at Northeastern University

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Published

2023-09-26

How to Cite

Gitomer, A., Shugars, S., Gallagher, R. J., McCabe, S., & Foucault Welles, B. (2023). The speech we miss: How keyword-based data collection obscures youth participation in online political discourse. Computational Communication Research, 5(1). https://doi.org/10.5117/CCR2023.1.11.GITO

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Section

Articles