From Virality to Veracity: Examining False Information on Telegram vs. Twitter

Date
2024-01-03
Authors
Rieskamp, Jonas
Mirbabaie, Milad
Langer, Marie
Kocur, Alexander
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2516
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Abstract
The COVID-19 pandemic gave rise to various false information including that Ivermectin is effective against COVID-19 disease, which spread on social media. Because Telegram's structure poses a high risk for radicalization, it is imperative to understand the underlying spreading processes. Therefore, we gathered a network of German-speaking channels that spread false information about Ivermectin to analyze the network structure and the spread of false information. By comparing results from Telegram to Twitter network, important insights are gained for research and practice. Results revealed that opinion leaders play a significant role in the spreading process of false information. This is evident because false information on Telegram can reach more users and requires fewer distributors compared to Twitter. The study outlines avenues for future research regarding false information on Telegram.
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Data Analytics, Data Mining, and Machine Learning for Social Media, false information, information diffusion, social media analytics, telegram, twitter
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10 pages
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Proceedings of the 57th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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