Publication Database

Sentiment analysis, topic modelling and social network analysis:
COVID-19, protest movements and the Polish Tweetosphere (2022)

Art

Buchbeitrag

Autoren

Jarynowski, Andrzej (WE 16)

Płatek, Daniel

Quelle

The Covid-19 Pandemic as a challenge for media and communication studies — edited by Katarzyna Kopecka-Piech and Bartlomiej Lódzki (Hrsg.)

1. Auflage

London ; New York: Routledge Taylor & Francis Group, 2022. Routledge research in cultural and media studies — S. 210–224

ISBN: 978-1-003-23204-9

Sprache

Englisch

Verweise

URL (Volltext): https://www.taylorfrancis.com/books/9781003232049/chapters/10.4324/9781003232049-21

DOI: 10.4324/9781003232049-21

Kontakt

Institut für Veterinär-Epidemiologie und Biometrie

Königsweg 67
14163 Berlin
+49 30 838 56034
epi@vetmed.fu-berlin.de

Abstract / Zusammenfassung

Extensive anti-government protests were held in Poland in October 2020 related to accumulated social tensions due to COVID-19 pandemic among others. We attempt a question of how understanding communication patterns among protesters could possibly support epidemiological harm reduction campaigns. To do so, we analysed tweets in Polish language with hashtags: #Strajkkobiet representing pro-choice movement woman’s strike (227,125), #zajob representing coronascepticism movement (22,379), #ProtestRolników for farmers protest (9,739) and Social Network Analysis (SNA) was applied. Practical recommendations for harm reduction and educational communicates have been revealed: (1)#Strajkkobiet – Due to the modular structure of the network, the organisers or protest leaders would not be able to propagate pro-health communication towards the “teenagers” clusters. (2)#Zajob – Very high network density with very low modularity suggests that such a network is resilient to interventions such as the blocking of single accounts or inhibiting reach of content. (3)#ProtestRolników – Animal breeders’ protest communication has the most hierarchical and modular structure of all the networks studied with clear boundaries between communities and opinion leaders who could propagate information campaigns for their followers.