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Incivility in Comparison: How Context, Content, and Personal Characteristics Predict Exposure to Uncivil Content
[journal article]
Abstract Incivility, that is, the breaking of social norms of conversation, is evidently prevalent in online political communication. While a growing literature provides evidence on the prevalence of incivility in different online venues, it is still unclear where and to what extent Internet users are expose... view more
Incivility, that is, the breaking of social norms of conversation, is evidently prevalent in online political communication. While a growing literature provides evidence on the prevalence of incivility in different online venues, it is still unclear where and to what extent Internet users are exposed to incivility. This paper takes a comparative approach to assess the levels of incivility across contexts, content and personal characteristics. The pre-registered analysis uses detailed web browsing histories, including public Facebook posts and tweets seen by study participants, in combination with surveys collected during the German federal election 2021 (N = 739). The level of incivility is predicted using Google's Perspective API and compared across contexts (platforms and campaign periods), content features, and individual-level variables. The findings show that incivility is particularly strong on Twitter and more prevalent in comments than original posts/tweets on Facebook and Twitter. Content featuring political content and actors is more uncivil, whereas personal characteristics are less relevant predictors. The finding that user-generated political content is the most likely source of individuals' exposure to incivility adds to the understanding of social media's impact on public discourse.... view less
Keywords
election campaign; language usage; social norm; online media; social media; political communication; network analysis
Classification
Interactive, electronic Media
Political Process, Elections, Political Sociology, Political Culture
Free Keywords
incivility; negativity; web browsing data
Document language
English
Publication Year
2024
Page/Pages
p. 1120-1135
Journal
Social Science Computer Review, 42 (2024) 5
Issue topic
Comparative Digital Political Communication
ISSN
1552-8286
Status
Published Version; peer reviewed