La Morgia, M., Mei, A., & Mongardini, A. M. (2025). TGDataset: Collecting and Exploring the Largest Telegram Channels Dataset. Proceedings of the 31 st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2325-2334. https://doi.org/10.1145/3690624.3709397
ISO-690 (author-date, English)LA MORGIA, Massimo, MEI, Alessandro und MONGARDINI, Alberto Maria, 2025. TGDataset: Collecting and Exploring the Largest Telegram Channels Dataset. Proceedings of the 31 st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1. 20 Juli 2025. P. 2325-2334. DOI 10.1145/3690624.3709397.
Modern Language Association 9th editionLa Morgia, M., A. Mei, und A. M. Mongardini. „TGDataset: Collecting and Exploring the Largest Telegram Channels Dataset“. Proceedings of the 31 st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, Juli 2025, S. 2325-34, https://doi.org/10.1145/3690624.3709397.
Mohr Siebeck - Recht (Deutsch - Österreich)La Morgia, Massimo/Mei, Alessandro/Mongardini, Alberto Maria: TGDataset: Collecting and Exploring the Largest Telegram Channels Dataset, Proceedings of the 31 st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 2025, 2325-2334.
Emerald - HarvardLa Morgia, M., Mei, A. und Mongardini, A.M. (2025), „TGDataset: Collecting and Exploring the Largest Telegram Channels Dataset“, Proceedings of the 31 st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, S. 2325-2334.