This dataset contains processed data extracted from Telegram channels using pytopicgram from 2019-12-01 to 2024-08-31. It includes anonymized channel information, sampled messages, and topics identified using BERTopic. The data has been anonymized and structured for ease of analysis. The dataset comprises two main CSV files: 1. Topics (topics.csv) This file contains topics extracted from the full dataset using BERTopic. Each topic is described by a concise text generated by OpenAI o1. Column Name Description Topic Numeric identifier for each topic. -1 is the generic topic for non-assignable messages. Name Human-readable name summarizing the topic. Representation List of representative keywords for the topic. Description Concise description of the topic generated by OpenAI. 2. Messages (messages.csv) This file contains a 25% stratified sample of messages (on topic column) from Telegram channels. Column Name Description channel_id Anonymized identifier for the Telegram channel. week_year Week and year when the message was posted (format: week_year). media_type Type of media included in the message (txt, img, video, audio, doc, web). reach Number of users reached by the message. virality Virality score of the message. is_viral Boolean indicating whether the message is considered viral. topics Topic identifier associated with the message. probs Probability scores for topic assignment.