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What’s in a post? How sentiment and issue salience affect users’ emotional reactions on Facebook

Bibliographic Data

ID12972149
AuthorsJakob-Moritz Eberl (0000-0002-5613-760X, corresponding author), Petro Tolochko (0000-0001-5971-8816), Pablo Jost (0000-0001-9267-1773), Tobias Heidenreich (0000-0001-9070-0550), Hajo Boomgaarden (0000-0002-5260-1284)
Year2020
Volume17
Issue1
Pages48-65
Publication date2020-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Information Technology & Politics (JOURNAL)
Journal identifiersISSN: 1933-169X • E-ISSN: 1933-1681
PublisherRoutledge (PUBLISHER • GB)
DOI10.1080/19331681.2019.1710318
OpenAlexW2997427599
LanguageEN
Citations received70
References cited76

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

Affect (linguistics · Cognitive psychology · Multilevel model · Negative binomial distribution · Salience (neuroscience · Salient · Sentiment analysis · Social media · Valence (chemistry · World Wide Web · Computer Science · Electoral Systems and Political Participation · Opinion Dynamics and Social Influence · Psychology · Social Media and Politics · Social Psychology · Artificial Intelligence

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Unique citing works70
Citations per year14
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 69

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