TGDataset: Collecting and Exploring the Largest Telegram Channels Dataset
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arXiv
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| Format: | Preprint |
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2023
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| _version_ | 1866910854839009280 |
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| author | La Morgia, Massimo Mei, Alessandro Mongardini, Alberto Maria |
| author_facet | La Morgia, Massimo Mei, Alessandro Mongardini, Alberto Maria |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2303_05345 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | TGDataset: Collecting and Exploring the Largest Telegram Channels Dataset La Morgia, Massimo Mei, Alessandro Mongardini, Alberto Maria Computers and Society 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. |
| title | TGDataset: Collecting and Exploring the Largest Telegram Channels Dataset |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2303.05345 |