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

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dc.contributor.author Rieskamp, Jonas
dc.contributor.author Mirbabaie, Milad
dc.contributor.author Langer, Marie
dc.contributor.author Kocur, Alexander
dc.date.accessioned 2023-12-26T18:38:41Z
dc.date.available 2023-12-26T18:38:41Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other fa23c937-e2bd-4f94-b948-ce53945df60f
dc.identifier.uri https://hdl.handle.net/10125/106687
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Data Analytics, Data Mining, and Machine Learning for Social Media
dc.subject false information
dc.subject information diffusion
dc.subject social media analytics
dc.subject telegram
dc.subject twitter
dc.title From Virality to Veracity: Examining False Information on Telegram vs. Twitter
dc.type Conference Paper
dc.type.dcmi Text
dcterms.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.
dcterms.extent 10 pages
prism.startingpage 2516
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