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Topic-Modeling-Ansätze für Social Media Kommunikation in der Coronapandemie.
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- Author(s): Mitera, Hannah1 (AUTHOR)
- Source:
Information -- Wissenschaft und Praxis. Jul2022, Vol. 73 Issue 4, p197-205. 9p.- Subject Terms:
- Source:
- Additional Information
- Alternate Title: Topic modeling approaches for social media communication during the COVID-19 pandemic.
Approches de topic modeling pour la communication dans les médias sociaux pendant la coronapandémie. - Abstract: During the COVID-19 pandemic, large amounts of data have been generated in social media, for the processing of which automatic methods such as topic modeling become necessary. In various studies, this has already provided fundamental insights into the topics discussed in different geographical regions and at different points in time. Other parameters such as authorship have also taken into account for additional differentiation, or individual sub-areas of corona discourse have been considered separately. Another interesting subfield here is science communication, whose importance for successful pandemic response is often mentioned. Here, too, topic modeling can serve as an approach in the future to examine science communication in the COVID-19 pandemic and its effects in more detail. [ABSTRACT FROM AUTHOR]
- Abstract: Résumé: Pendant la pandémie de coronavirus, les médias sociaux ont généré de grandes quantités de données, dont le traitement nécessite des méthodes automatiques telles que la modélisation des thèmes. Diverses études ont ainsi déjà permis d'acquérir des connaissances fondamentales sur les thèmes abordés dans différentes régions géographiques et à différents moments. D'autres paramètres, comme la qualité d'auteur, ont également été pris en compte pour une différenciation supplémentaire, ou certains domaines du discours de Corona ont été étudiés séparément. Un autre domaine intéressant est la communication scientifique, dont l'importance pour une gestion réussie de la pandémie est souvent mentionnée. Ici aussi, le topic modeling pourra servir à l'avenir d'approche pour étudier de plus près la communication scientifique dans la pandémie de coronavirus et ses effets. [ABSTRACT FROM AUTHOR]
- Abstract: Während der Coronapandemie sind in Social Media große Datenmengen entstanden, für deren Bearbeitung automatische Methoden wie etwa das Topic Modeling erforderlich werden. In diversen Studien wurden damit bereits grundlegende Erkenntnisse über die besprochenen Themen in verschiedenen geografischen Regionen und zu verschiedenen Zeitpunkten erlangt. Auch weitere Parameter wie die Autorenschaft wurden für eine zusätzliche Differenzierung berücksichtigt oder einzelne Teilgebiete des Coronadiskurses gesondert betrachtet. Ein weiteres interessantes Teilgebiet ist die Wissenschaftskommunikation, deren Stellenwert zur erfolgreichen Pandemiebewältigung oft Erwähnung findet. Auch hier kann Topic Modeling zukünftig als Ansatz dienen, um Wissenschaftskommunikation in der Coronapandemie und deren Auswirkungen näher zu untersuchen. [ABSTRACT FROM AUTHOR]
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