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

dc.contributor.authorDworakowski, Olenka
dc.contributor.authorBoyd, Ryan L.
dc.contributor.authorMeier, Tabea
dc.contributor.authorKuppens, Peter
dc.contributor.authorMehl, Matthias R.
dc.contributor.authorNussbeck, Fridtjof W.
dc.contributor.authorHorn, Andrea B.
dc.date.accessioned2026-01-12T11:54:26Z
dc.date.available2026-01-12T11:54:26Z
dc.date.issued2023-08-02
dc.description.abstractDuring 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.
dc.description.versionpublisheddeu
dc.identifier.doi10.58734/plc-2023-0017
dc.identifier.ppn1948491710
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/75637
dc.language.isoeng
dc.rightsterms-of-use
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectCOVID-19
dc.subjectTwitter
dc.subjectpolitical leaders
dc.subjectsocioaffective dynmics
dc.subjectcollective emotions
dc.subject.ddc150
dc.titleTwitter language samples reflect collective emotional responses following political leaders’ rhetoric during the pandemic across four countrieseng
dc.typeJOURNAL_ARTICLE
dspace.entity.typePublication
kops.citation.bibtex
@article{Dworakowski2023-08-02Twitt-75637,
  title={Twitter language samples reflect collective emotional responses following political leaders’ rhetoric during the pandemic across four countries},
  year={2023},
  doi={10.58734/plc-2023-0017},
  number={1},
  volume={27},
  issn={1234-2238},
  journal={Psychology of Language and Communication},
  pages={350--383},
  author={Dworakowski, Olenka and Boyd, Ryan L. and Meier, Tabea and Kuppens, Peter and Mehl, Matthias R. and Nussbeck, Fridtjof W. and Horn, Andrea B.}
}
kops.citation.iso690DWORAKOWSKI, Olenka, Ryan L. BOYD, Tabea MEIER, Peter KUPPENS, Matthias R. MEHL, Fridtjof W. NUSSBECK, Andrea B. HORN, 2023. Twitter language samples reflect collective emotional responses following political leaders’ rhetoric during the pandemic across four countries. In: Psychology of Language and Communication. University of Warsaw. 2023, 27(1), S. 350-383. ISSN 1234-2238. eISSN 2083-8506. Verfügbar unter: doi: 10.58734/plc-2023-0017deu
kops.citation.iso690DWORAKOWSKI, Olenka, Ryan L. BOYD, Tabea MEIER, Peter KUPPENS, Matthias R. MEHL, Fridtjof W. NUSSBECK, Andrea B. HORN, 2023. Twitter language samples reflect collective emotional responses following political leaders’ rhetoric during the pandemic across four countries. In: Psychology of Language and Communication. University of Warsaw. 2023, 27(1), pp. 350-383. ISSN 1234-2238. eISSN 2083-8506. Available under: doi: 10.58734/plc-2023-0017eng
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