
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.
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
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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