The Democratic Value of Strategic Game Reporting and Uncivil Talk: A Computational Analysis of Facebook Conversations during U.S. Primary Debates
Abstract
This study explores discourse features on Facebook pages of news organizations during the 2020 U.S. primary debates using a state-of-the-art machine-learning model. Informing the scholarly debate about the implications of strategic game reporting in online spaces, we find that it is not necessarily linked to uncivil discourse, yet it might deter from relevant conversations. Second, addressing fears about the undesired outcomes of uncivil talk, our data suggest that incivility can coexist with rational discourse in user comments, although this relationship is not pervasive. Implications of these results are discussed in the context of the role of hybrid media for political engagement during electoral campaigns.
Recommended Citation
L. Camaj et al., "The Democratic Value of Strategic Game Reporting and Uncivil Talk: A Computational Analysis of Facebook Conversations during U.S. Primary Debates," Journalism and Mass Communication Quarterly, vol. 101, no. 2, pp. 428 - 450, SAGE Publications, Jun 2024.
The definitive version is available at https://doi.org/10.1177/10776990231226403
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
computational methods; horserace; incivility; online discourse; political debates; strategic reporting
International Standard Serial Number (ISSN)
2161-430X; 1077-6990
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 SAGE Publications, All rights reserved.
Publication Date
01 Jun 2024
