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The Pushshift Telegram Dataset

Authors: Baumgartner, Jason; Zannettou, Savvas; Squire, Megan; Blackburn, Jeremy;
Abstract

Messaging platforms, especially those with a mobile focus, have become increasingly ubiquitous in society. These mobile messaging platforms can have deceivingly large user bases, and in addition to being a way for people to stay in touch, are often used to organize social movements, as well as a place for extremists and other ne'er-do-well to congregate. In this paper, we present a dataset from one such mobile messaging platform: Telegram. Our dataset is made up of over 27.8K channels and 317M messages from 2.2M unique users. To the best of our knowledge, our dataset comprises the largest and most complete of its kind. In addition to the raw data, we also provide the source code used to collect it, allowing researchers to run their own data collection instance. We believe the Pushshift Telegram dataset can help researchers from a variety of disciplines interested in studying online social movements, protests, political extremism, and disinformation.

Keywords

Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Computers and Society, Computers and Society (cs.CY), pushshift, Computer Science - Social and Information Networks, Telegram

22 references, page 1 of 3

[1] R. Abu-Salma, K. Krol, S. Parkin, V. Koh, K. Kwan, J. Mahboob, Z. Traboulsi, and M. A. Sasse. The Security Blanket of the Chat World: An Analytic Evaluation and a User Study of Telegram. Internet Society, 2017.

[2] A. Akbari and R. Gabdulhakov. Platform surveillance and resistance in iran and russia: The case of telegram. Surveillance & Society, 17(1/2):223-231, 2019.

[3] C. Anglano, M. Canonico, and M. Guazzone. Forensic analysis of telegram messenger on android smartphones. Digital Investigation, 23:31-49, 2017. [OpenAIRE]

[4] A. R. Asnafi, S. Moradi, M. Dokhtesmati, and M. P. Naeini. Using mobile-based social networks by iranian libraries: The case of telegram messenger. Libr. Philos. Pract, 2017(1), 2017.

[5] G. Brena, M. Brambilla, S. Ceri, M. Di Giovanni, F. Pierri, and G. Ramponi. News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions. In ICWSM, 2019.

[6] A. Dargahi Nobari, N. Reshadatmand, and M. Neshati. Analysis of Telegram, An Instant Messaging Service. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pages 2035-2038. ACM, 2017. [OpenAIRE]

[7] P. de Freitas Melo, C. C. Vieira, K. Garimella, P. O. V. de Melo, and F. Benevenuto. Can WhatsApp Counter Misinformation by Limiting Message Forwarding? In International Conference on Complex Networks and Their Applications, pages 372-384. Springer, 2019.

[8] G. Fair and R. Wesslen. Shouting into the Void: A Database of the Alternative Social Media Platform Gab. In Proceedings of the International AAAI Conference on Web and Social Media, volume 13, pages 608-610, 2019.

[9] A. M. Founta, C. Djouvas, D. Chatzakou, I. Leontiadis, J. Blackburn, G. Stringhini, A. Vakali, M. Sirivianos, and N. Kourtellis. Large scale crowdsourcing and characterization of twitter abusive behavior. In ICWSM, 2018. [OpenAIRE]

[10] K. Garimella and G. Tyson. Whatapp Doc? A First Look at Whatsapp Public Group Data. In Twelfth International AAAI Conference on Web and Social Media, 2018.

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