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Multimodal Telegram Message Analysis: An Exploratory Study

24 October 2024, Version 2
Working Paper
This content is an early or alternative research output and has not been peer-reviewed at the time of posting.

Abstract

Does the subject of Telegram messages impact message views? In this study, I examined the impact of text and image content on message view counts for messages sent between 15 February 2022 and 15 March 2022 in a Telegram channel associated with the Russian Imperial Movement (RIM). My goal was to examine how multimodal computational tools can be used to inductively explore online discourse associated with an extremist group.

Keywords

Telegram
Discourse
Topic Modeling
Computer Vision

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Version History

Oct 24, 2024 Version 2

Version Notes

Added additional references.

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The content is available under CC BY 4.0 [opens in a new tab]

DOI

10.33774/apsa-2024-cg33k-v2
D O I: 10.33774/apsa-2024-cg33k-v2 [opens in a new tab]

Author’s competing interest statement

The author(s) have declared they have no conflict of interest with regard to this content

Ethics

The author(s) have declared ethics committee/IRB approval is not relevant to this content

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