Titel
What’s in a post? How sentiment and issue salience affect users’ emotional reactions on Facebook
Autor*in
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Abstract
We investigate the effects of sentiment and issue salience on emotionally labeled responses to posts from political actors on Facebook (i.e., Reactions). We use an automated content analysis of Facebook posts and voter survey data in a multilevel negative binomial regression approach. Findings show that the sentiment of a post relates to the number of “Love” and “Angry” Reactions. Furthermore, if a post addresses an issue that constituents perceive as salient, this positively influences the number of “Angry” Reactions only. We also find that the effect of sentiment on “Angry” Reactions is highest when issue salience is low.
Stichwort
EmotionsFacebookelectionsautomated content analysis
Objekt-Typ
Sprache
Englisch [eng]
Persistent identifier
phaidra.univie.ac.at/o:1106757
Erschienen in
Titel
Journal of Information Technology & Politics
Band
17
Ausgabe
1
ISSN
1933-1681
Erscheinungsdatum
2020
Seitenanfang
48
Seitenende
65
Publication
Informa UK Limited
Erscheinungsdatum
2020
Zugänglichkeit
Rechteangabe
© 2020 The Author(s)
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