Recontextualized Knowledge and Narrative Coalitions on Telegram
Tom Willaert

TL;DR
This paper investigates how conspiracy narratives on Telegram recontextualize prior knowledge and form coalitions among diverse actors, revealing ideological and thematic patterns that influence online conspiracism.
Contribution
It introduces an empirical bibliometric-based analysis of knowledge links in Telegram conspiracy channels, uncovering coalition structures and ideological dynamics.
Findings
Politically extreme channels engage with scientific and scholarly sources.
Knowledge references facilitate the formation of diverse narrative coalitions.
Conspiracy narratives are shaped by linguistic, political, and thematic factors.
Abstract
A defining characteristic of conspiracy texts is that they negotiate power and identity by recontextualizing prior knowledge. This dynamic has been shown to intensify on social media, where knowledge sources can readily be integrated into antagonistic narratives through hyperlinks. The objective of the present chapter is to further our understanding of this dynamic by surfacing and examining 1) how online conspiracy narratives recontextualize prior knowledge by coupling it with heterogeneous antagonistic elements, and 2) how such recontextualizing narratives operate as connectors around which diverse actors might form narrative coalitions. To this end, the chapter offers an empirical analysis of links to prior knowledge in public messaging channels from the Pushshift Telegram dataset. Using transferable methods from the field of bibliometrics, we find that politically extreme Telegram…
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Taxonomy
TopicsMultimedia Communication and Technology
