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Spreading the Word: Exploring a Network of Mobilizing Messages in a Telegram Conspiracy Group

Authors: Darja Wischerath; Emily Godwin; Desislava Bocheva; Olivia Brown; Jonathan Francis Roscoe; Brittany I Davidson;

Spreading the Word: Exploring a Network of Mobilizing Messages in a Telegram Conspiracy Group

Abstract

Telegram's design prioritizes user security and minimal content moderation, making it appealing for communities banned from mainstream platforms, such as conspiracy influencers or far-right movements. We examine the bi-directional behavior of users in a conspiratorial Telegram group chat during the COVID-19 pandemic from 2020-2023. We find that the network structure of this community evolved throughout the pandemic, where the network grew both in the number of active users, as well as in the number of interactions. This increased interconnectivity coincided with surges in planning discussions for associated offline protests.

Country
United Kingdom
Related Organizations
Keywords

collective action, /dk/atira/pure/subjectarea/asjc/1700/1709; name=Human-Computer Interaction, 330, conspiracy theories, social network analysis, /dk/atira/pure/subjectarea/asjc/1700/1704; name=Computer Graphics and Computer-Aided Design, /dk/atira/pure/subjectarea/asjc/1700/1712; name=Software, Telegram, 004

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green