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1000 Titel
  • Emotions in Covid-19 Twitter discourse following the introduction of social contact restrictions in Central Europe
1000 Autor/in
  1. Hanschmidt, Franz |
  2. Kersting, Anette |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-07-02
1000 Erschienen in
1000 Quellenangabe
  • 1-14
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s10389-021-01613-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252989/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Aim!#!Non-pharmaceutical interventions such as lockdowns have played a critical role in preventing the spread of the Covid-19 pandemic, but may increase psychological burden. This study sought to examine emotions reflected in social media discourse following the introduction of social contact restrictions in Central Europe.!##!Subjects and methods!#!German-language Twitter posts containing '#corona' and '#covid-19' were collected between 2020/03/18 - 2020/04/24. A total of 79,760 tweets were included in the final analysis. Rates of expressions of positive emotion, anxiety, sadness and anger were compared over time. Bi-term topic models were applied to extract topics of discussion and examine association with emotions.!##!Results!#!Rates of anxiety, sadness and positive emotion decreased in the period following the introduction of social contact restrictions. A total of 16 topics were associated with emotions, which related to four general themes: social contact restrictions, life during lockdown, infection-related issues, and impact of the pandemic on public and private life. Several unique patterns of association between topics and emotions emerged.!##!Conclusion!#!Results suggest decreasing polarity of emotions among the public following the introduction of social contact restrictions. Monitoring of social media activity may prove beneficial for an adaptive understanding of changing public concerns during the Covid-19 pandemic.
1000 Sacherschließung
lokal Original Article
lokal Topic models
lokal Anxiety
lokal Emotions
lokal Natural language processing
lokal Covid-19
lokal Social media
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-8951-8321|https://frl.publisso.de/adhoc/uri/S2Vyc3RpbmcsIEFuZXR0ZQ==
1000 Hinweis
  • DeepGreen-ID: acd748ae2d4e4fc2a28df990887a4b67 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-04-28T12:30:18.740+0200
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1000 Zuletzt bearbeitet 2023-10-20T17:48:18.354+0200
1000 Objekt bearb. Fri Oct 20 17:48:18 CEST 2023
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  1. oai:frl.publisso.de:frl:6446209 |
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