Cross-Platform Emotions and Audience Engagement in Social Media Political Campaigning

Comparing Candidates’ Facebook and Instagram Images in the 2020 US Election

Bibliographic Data

ID6334501
AuthorsMichael Bossetta (0000-0002-8611-5487, Lund University, corresponding author), Rasmus Schmøkel (0000-0001-9558-4341, Digital Democracy Centre, University of Southern Denmark, Odense, Denmark)
Year2023
Volume40
Issue1
Pages48-68
Publication date2023-01-02
Open AccessYes
TypeARTICLE
VenuePolitical Communication (JOURNAL)
Journal identifiersISSN: 1058-4609 • E-ISSN: 1091-7675
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10584609.2022.2128949
OpenAlexW4298138815
LanguageEN
Citations received35
References cited23

This study provides a cross-platform, longitudinal investigation of pictures depicting political candidates posted to Facebook and Instagram over a 15-month period during the 2020 US election(n = 4,977). After motivating an exploratory research design, we set out to expound: the extent of cross-platform image posting across Facebook and Instagram; the emotion expression of politicians across the two platforms; and the relationship between these emotions and post performance. Our analysis of eight political campaigns (seven Democratic challengers and the Republican incumbent) finds relatively high and stable levels of cross-posting candidate pictures across the two platforms. The exception is the incumbent campaign, where cross-posting activity rose in proximity to the primary elections. Regarding emotions, we utilize both computer vision and crowd coding to identify happiness as the dominant emotion on Facebook and Instagram. Overall, we detect little variation in candidate emotion expressions – across campaigns and across platforms. However, we do find differences in how platform audiences respond to emotions, proxied here through post performance. Results from binomial logistic regressions show that in comparison with Calm, posts exhibiting Anger are less likely to overperform on both Facebook and Instagram. Most interestingly, we find diverging patterns for Happiness, which performs better than Calm on Instagram but not on Facebook. We interpret these findings to suggest first, that Instagram users reward emotionality from politicians. Second and more importantly, we argue that differing audience responses to emotions – captured through social media metrics – may reveal a generation polarization in what different segments of the electorateprefer their political leaders to be

Advertising · Anger · Business · Democracy · Happiness · Political science · Politics · Sadness · Sentiment analysis · Set (abstract data type · Social media · Computer Science · Law · Media Influence and Health · Misinformation and Its Impacts · Psychology · Social Media and Politics · Social Psychology

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