Publikation:

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

Lade...
Vorschaubild

Dateien

Dworakowski_2-1vrwt1ipere3w8.pdf
Dworakowski_2-1vrwt1ipere3w8.pdfGröße: 1.29 MBDownloads: 30

Datum

2023

Autor:innen

Dworakowski, Olenka
Boyd, Ryan L.
Meier, Tabea
Kuppens, Peter
Mehl, Matthias R.
Horn, Andrea B.

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Swiss National Science Foundation: 196255

Projekt

Open Access-Veröffentlichung
Open Access Gold
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen 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-2023-0017

Zusammenfassung

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.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
150 Psychologie

Schlagwörter

COVID-19, Twitter, political leaders, socioaffective dynmics, collective emotions

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690DWORAKOWSKI, 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-2023-0017
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.}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/75637">
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/75637"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/75637/4/Dworakowski_2-1vrwt1ipere3w8.pdf"/>
    <dc:creator>Horn, Andrea B.</dc:creator>
    <dc:contributor>Nussbeck, Fridtjof W.</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
    <dc:creator>Mehl, Matthias R.</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2026-01-12T11:54:26Z</dc:date>
    <dc:creator>Kuppens, Peter</dc:creator>
    <dcterms: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.</dcterms:abstract>
    <dc:language>eng</dc:language>
    <dc:contributor>Kuppens, Peter</dc:contributor>
    <dcterms:issued>2023-08-02</dcterms:issued>
    <dc:creator>Meier, Tabea</dc:creator>
    <dc:creator>Boyd, Ryan L.</dc:creator>
    <dc:rights>terms-of-use</dc:rights>
    <dc:contributor>Horn, Andrea B.</dc:contributor>
    <dcterms:title>Twitter language samples reflect collective emotional responses following political leaders’ rhetoric during the pandemic across four countries</dcterms:title>
    <dc:contributor>Boyd, Ryan L.</dc:contributor>
    <dc:creator>Dworakowski, Olenka</dc:creator>
    <dc:contributor>Dworakowski, Olenka</dc:contributor>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/75637/4/Dworakowski_2-1vrwt1ipere3w8.pdf"/>
    <dc:creator>Nussbeck, Fridtjof W.</dc:creator>
    <dc:contributor>Mehl, Matthias R.</dc:contributor>
    <dc:contributor>Meier, Tabea</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2026-01-12T11:54:26Z</dcterms:available>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja
Diese Publikation teilen