Analyzing protest mobilization on Telegram: The case of 2019 Anti-Extradition Bill movement in Hong Kong.

Online messaging app Telegram has increased in popularity in recent years surpassing Twitter and Snapchat by the number of active monthly users in late 2020. The messenger has also been crucial to protest movements in several countries in 2019-2020, including Belarus, Russia and Hong Kong. Yet, to d...

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Autores principales: Aleksandra Urman, Justin Chun-Ting Ho, Stefan Katz
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/9fdd362ffefa4a8da0276f937878e6ed
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spelling oai:doaj.org-article:9fdd362ffefa4a8da0276f937878e6ed2021-12-02T20:13:45ZAnalyzing protest mobilization on Telegram: The case of 2019 Anti-Extradition Bill movement in Hong Kong.1932-620310.1371/journal.pone.0256675https://doaj.org/article/9fdd362ffefa4a8da0276f937878e6ed2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256675https://doaj.org/toc/1932-6203Online messaging app Telegram has increased in popularity in recent years surpassing Twitter and Snapchat by the number of active monthly users in late 2020. The messenger has also been crucial to protest movements in several countries in 2019-2020, including Belarus, Russia and Hong Kong. Yet, to date only few studies examined online activities on Telegram and none have analyzed the platform with regard to the protest mobilization. In the present study, we address the existing gap by examining Telegram-based activities related to the 2019 protests in Hong Kong. With this paper we aim to provide an example of methodological tools that can be used to study protest mobilization and coordination on Telegram. We also contribute to the research on computational text analysis in Cantonese-one of the low-resource Asian languages,-as well as to the scholarship on Hong Kong protests and research on social media-based protest mobilization in general. For that, we rely on the data collected through Telegram's API and a combination of network analysis and computational text analysis. We find that the Telegram-based network was cohesive ensuring efficient spread of protest-related information. Content spread through Telegram predominantly concerned discussions of future actions and protest-related on-site information (i.e., police presence in certain areas). We find that the Telegram network was dominated by different actors each month of the observation suggesting the absence of one single leader. Further, traditional protest leaders-those prominent during the 2014 Umbrella Movement,-such as media and civic organisations were less prominent in the network than local communities. Finally, we observe a cooldown in the level of Telegram activity after the enactment of the harsh National Security Law in July 2020. Further investigation is necessary to assess the persistence of this effect in a long-term perspective.Aleksandra UrmanJustin Chun-Ting HoStefan KatzPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0256675 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Aleksandra Urman
Justin Chun-Ting Ho
Stefan Katz
Analyzing protest mobilization on Telegram: The case of 2019 Anti-Extradition Bill movement in Hong Kong.
description Online messaging app Telegram has increased in popularity in recent years surpassing Twitter and Snapchat by the number of active monthly users in late 2020. The messenger has also been crucial to protest movements in several countries in 2019-2020, including Belarus, Russia and Hong Kong. Yet, to date only few studies examined online activities on Telegram and none have analyzed the platform with regard to the protest mobilization. In the present study, we address the existing gap by examining Telegram-based activities related to the 2019 protests in Hong Kong. With this paper we aim to provide an example of methodological tools that can be used to study protest mobilization and coordination on Telegram. We also contribute to the research on computational text analysis in Cantonese-one of the low-resource Asian languages,-as well as to the scholarship on Hong Kong protests and research on social media-based protest mobilization in general. For that, we rely on the data collected through Telegram's API and a combination of network analysis and computational text analysis. We find that the Telegram-based network was cohesive ensuring efficient spread of protest-related information. Content spread through Telegram predominantly concerned discussions of future actions and protest-related on-site information (i.e., police presence in certain areas). We find that the Telegram network was dominated by different actors each month of the observation suggesting the absence of one single leader. Further, traditional protest leaders-those prominent during the 2014 Umbrella Movement,-such as media and civic organisations were less prominent in the network than local communities. Finally, we observe a cooldown in the level of Telegram activity after the enactment of the harsh National Security Law in July 2020. Further investigation is necessary to assess the persistence of this effect in a long-term perspective.
format article
author Aleksandra Urman
Justin Chun-Ting Ho
Stefan Katz
author_facet Aleksandra Urman
Justin Chun-Ting Ho
Stefan Katz
author_sort Aleksandra Urman
title Analyzing protest mobilization on Telegram: The case of 2019 Anti-Extradition Bill movement in Hong Kong.
title_short Analyzing protest mobilization on Telegram: The case of 2019 Anti-Extradition Bill movement in Hong Kong.
title_full Analyzing protest mobilization on Telegram: The case of 2019 Anti-Extradition Bill movement in Hong Kong.
title_fullStr Analyzing protest mobilization on Telegram: The case of 2019 Anti-Extradition Bill movement in Hong Kong.
title_full_unstemmed Analyzing protest mobilization on Telegram: The case of 2019 Anti-Extradition Bill movement in Hong Kong.
title_sort analyzing protest mobilization on telegram: the case of 2019 anti-extradition bill movement in hong kong.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/9fdd362ffefa4a8da0276f937878e6ed
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