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TGDataset: Collecting and Exploring the Largest Telegram Channels Dataset

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arxiv 2303.05345 v3 pith:7EM3KKRP submitted 2023-03-09 cs.CY

classification cs.CY
keywords channelsdatasettelegramadditionanalyzecollectionlargestmessaging
verification ladder T0 review T1 audit T2 compute T3 formal
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Telegram is one of the most popular instant messaging apps in today's digital age. In addition to providing a private messaging service, Telegram, with its channels, represents a valid medium for rapidly broadcasting content to a large audience (COVID-19 announcements), but, unfortunately, also for disseminating radical ideologies and coordinating attacks (Capitol Hill riot). This paper presents the TGDataset, a new dataset that includes 120,979 Telegram channels and over 400 million messages, making it the largest collection of Telegram channels to the best of our knowledge. After a brief introduction to the data collection process, we analyze the languages spoken within our dataset and the topic covered by English channels. Finally, we discuss some use cases in which our dataset can be extremely useful to understand better the Telegram ecosystem, as well as to study the diffusion of questionable news. In addition to the raw dataset, we released the scripts we used to analyze the dataset and the list of channels belonging to the network of a new conspiracy theory called Sabmyk.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. MisinfoTeleGraph: Network-driven Misinformation Detection for German Telegram Messages

    cs.CL 2025-06 conditional novelty 6.0 of 10

    A new German Telegram graph dataset for misinformation detection, with initial evidence that graph structure improves classification over text-only models.

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