期刊
INFORMATION COMMUNICATION & SOCIETY
卷 22, 期 10, 页码 1497-1513出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/1369118X.2018.1445273
关键词
Content analysis; social media; political participation; deliberation; interactivity; negativity bias; emotions; humor; user engagement; multilevel analysis
资金
- Austrian Federal Ministry of Science, Research and Economy [SPA 05/198]
Based on a quantitative content analysis of political actors' Facebook posts (N = 1915), this study investigates profile-level and post-level drivers of user engagement (comments, likes, and shares) by employing a multilevel approach. For the first time in extant research, we also examine the factors that drive political actors to react to user comments. Findings indicate that the number of followers, the use of an official fan profile, and party vote share were negatively related to political actors' reactions to user comments. Furthermore, party profiles were least successful in stimulating user engagement. On the post level, we found that reasoning, post length, and references to competitive political actors have the potential to increase different types of user engagement. Negative, but not positive tonality increased user engagement and positive emotional expressions had a stronger effect on user engagement than negative emotions. Furthermore, humorous posts were more likely to be commented, liked, or shared, while mobilization cues had predominantly negative effects on user engagement.
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