Sentiment analysis, topic modelling and social network analysis : COVID-19, protest movements and the Polish Tweetosphere
Jarynowski, Andrzej and Płatek, Daniel LU
(2022)
p.210-224
- Abstract
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... (More)
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 ofcontent. (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.
(Less)
- author
- Jarynowski, Andrzej
and Płatek, Daniel
LU
- organization
- publishing date
- 2022-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- The Covid-19 Pandemic as a Challenge for Media and Communication Studies
- pages
- 15 pages
- publisher
- Taylor & Francis
- external identifiers
-
- scopus:85144944515
- ISBN
- 9781000537420
- 9781003232049
- DOI
- 10.4324/9781003232049-21
- language
- English
- LU publication?
- yes
- id
- cfa61660-eaa6-4741-b3eb-c746812f5b38
- date added to LUP
- 2023-01-12 16:11:59
- date last changed
- 2024-04-04 15:40:19
@inbook{cfa61660-eaa6-4741-b3eb-c746812f5b38,
abstract = {{<p>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 ofcontent. (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.</p>}},
author = {{Jarynowski, Andrzej and Płatek, Daniel}},
booktitle = {{The Covid-19 Pandemic as a Challenge for Media and Communication Studies}},
isbn = {{9781000537420}},
language = {{eng}},
pages = {{210--224}},
publisher = {{Taylor & Francis}},
title = {{Sentiment analysis, topic modelling and social network analysis : COVID-19, protest movements and the Polish Tweetosphere}},
url = {{http://dx.doi.org/10.4324/9781003232049-21}},
doi = {{10.4324/9781003232049-21}},
year = {{2022}},
}