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Psychology of Language and Communication
Article . 2023 . Peer-reviewed
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Twitter language samples reflect collective emotional responses following political leaders’ rhetoric during the pandemic across four countries

Authors: Dworakowski, Olenka; Boyd, Ryan L; Meier, Tabea; Kuppens, Peter; Mehl, Matthias R; Nussbeck, Fridtjof W; Horn, Andrea B;

Twitter language samples reflect collective emotional responses following political leaders’ rhetoric during the pandemic across four countries

Abstract

During the Covid-19 pandemic, the global public has relied on their political leaders to guide them through the crisis. The current study investigated if and how political leader’s rhetoric would be associated with collective emotional responses. We used text analytical methods to investigate association between political leader speech and daily aggregates of expressed emotions on Twitter. We collected posts concerning Covid-19 and all speeches by the highest executive power from the USA, UK, Germany, and Switzerland. We applied cross-lagged time series analyses. Political leaders whose communication was more analytic and communal corresponded to increased positivity on Twitter. Collective communal focus, in turn, increased after speeches which were more analytic and negative. Processes of socio-affective dynamics between political leaders and the general public are apparent. Our findings demonstrate that political leaders who present public crises competently and with a sense of community are associated with more positive responses on Twitter.

Keywords

3204 Developmental and Educational Psychology, 10093 Institute of Psychology, 3205 Experimental and Cognitive Psychology, Twitter, 4704 Linguistics, UFSP13-4 Dynamics of Healthy Aging, Oral communication. Speech, HLC Healthy Longevity Center, BF1-990, 3310 Linguistics and Language, covid-19, political leaders, 19, collective emotions, P95-95.6, 5204 Cognitive and computational psychology, Psychology, twitter, socioaffective dynmics, 150 Psychology, 10229 Center for Gerontology, 1203 Language and Linguistics, 3315 Communication, COVID

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
Published in a Diamond OA journal