Header

UZH-Logo

Maintenance Infos

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


Dworakowski, Olenka; Boyd, Ryan L; Meier, Tabea; Kuppens, Peter; Mehl, Matthias R; Nussbeck, Fridtjof W; Horn, Andrea B (2023). Twitter language samples reflect collective emotional responses following political leaders’ rhetoric during the pandemic across four countries. Psychology of Language and Communication:350-383.

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.

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.

Statistics

Citations

Dimensions.ai Metrics

Altmetrics

Downloads

1 download since deposited on 27 Nov 2023
1 download since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
06 Faculty of Arts > Center for Gerontology
Dewey Decimal Classification:150 Psychology
Scopus Subject Areas:Social Sciences & Humanities > Experimental and Cognitive Psychology
Social Sciences & Humanities > Language and Linguistics
Social Sciences & Humanities > Communication
Social Sciences & Humanities > Developmental and Educational Psychology
Social Sciences & Humanities > Linguistics and Language
Uncontrolled Keywords:COVID-19, Twitter, political leaders, socioaffective dynmics, collective emotions
Language:English
Date:2 August 2023
Deposited On:27 Nov 2023 10:35
Last Modified:28 Nov 2023 21:00
Publisher:Versita
ISSN:1234-2238
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.58734/plc-2023-0017
Related URLs:https://sciendo.com/article/10.58734/plc-2023-0017 (Publisher)
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)