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We present the first large-scale analysis of 339 cybercriminal activity channels (CACs). Followed by over 23.8 million users, these channels share a wide array of malicious and unethical content with their subscribers, including compromised…

Cryptography and Security · Computer Science 2025-10-22 Sayak Saha Roy , Elham Pourabbas Vafa , Kobra Khanmohammadi , Shirin Nilizadeh

Telegram, initially a messaging app, has evolved into a platform where users can interact with various services through programmable applications, bots. Bots provide a wide range of uses, from moderating groups, helping with online…

Cryptography and Security · Computer Science 2026-04-16 Taro Tsuchiya , Haoxiang Yu , Tina Marjanov , Alice Hutchings , Nicolas Christin , Alejandro Cuevas

Telegram is a globally popular instant messaging platform known for its strong emphasis on security, privacy, and unique social networking features. It has recently emerged as the host for various cross-domain analysis and research works,…

Social and Information Networks · Computer Science 2025-04-29 Susmita Gangopadhyay , Danilo Dessi , Dimitar Dimitrov , Stefan Dietze

Although Telegram is currently one of the most popular instant messaging apps in the world, previous studies have mainly focused on analysing discussions on specific angles and topics. In this paper, we present a broad analysis of publicly…

Social and Information Networks · Computer Science 2025-03-18 Alessandro Perlo , Giordano Paoletti , Nikhil Jha , Luca Vassio , Jussara Almeida , Marco Mellia

Telegram is one of the most used instant messaging apps worldwide. Some of its success lies in providing high privacy protection and social network features like the channels -- virtual rooms in which only the admins can post and broadcast…

Computers and Society · Computer Science 2025-03-04 Massimo La Morgia , Alessandro Mei , Alberto Maria Mongardini , Jie Wu

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…

Computers and Society · Computer Science 2025-03-04 Massimo La Morgia , Alessandro Mei , Alberto Maria Mongardini

Cryptocurrency pump-and-dump schemes coordinated via Telegram threaten market integrity. However, existing research addressing this specific threat has not yet produced solutions that combine reliable results with fast response. This is in…

Computation and Language · Computer Science 2026-05-12 Ahmed Mahrous , Roberto Di Pietro

In recent years, major social media platforms have implemented increasingly strict moderation policies, resulting in bans and restrictions on conspiracy theory-related content. To circumvent these restrictions, conspiracy theorists are…

Computers and Society · Computer Science 2025-09-16 Vincenzo Imperati , Massimo La Morgia , Alessandro Mei , Alberto Maria Mongardini , Francesco Sassi

Cryptocurrencies represent one of the most attractive markets for financial speculation. As a consequence, they have attracted unprecedented attention on social media. Besides genuine discussions and legitimate investment initiatives,…

Computers and Society · Computer Science 2020-08-20 Leonardo Nizzoli , Serena Tardelli , Marco Avvenuti , Stefano Cresci , Maurizio Tesconi , Emilio Ferrara

Here we present a massive longitudinal dataset of public Telegram content, comprising over 5.9 billion messages dating from 2015 to 2025, collected from 712 thousand channels and groups, enriched with metadata on forwards, reactions, and…

Within the thriving mobile app ecosystem ecosystem, a subset of apps provides illicit services such as gambling and pornography to pursue economic gains, collectively referred to as "underground economy apps". While previous studies have…

Cryptography and Security · Computer Science 2024-11-06 Yanhui Guo , Dong Wang , Liu Wang , Yongsheng Fang , Chao Wang , Minghui Yang , Tianming Liu , Haoyu Wang

Cyber Threat Intelligence (CTI) enables organizations to anticipate, detect, and mitigate evolving cyber threats. Its effectiveness depends on high-quality datasets, which support model development, training, evaluation, and benchmarking.…

Cryptography and Security · Computer Science 2025-09-26 Dincy R. Arikkat , Sneha B. T. , Serena Nicolazzo , Antonino Nocera , Vinod P. , Rafidha Rehiman K. A. , Karthika R

To address the increasing prevalence of (audio-)visual data on social media, and to capture the evolving and dynamic nature of this communication, researchers have begun to explore the potential of unsupervised approaches for analyzing…

Social and Information Networks · Computer Science 2025-08-05 Elisabeth Steffen

We present YouTube-Synch [1], a production system for automated, large-scale content extraction and replication from YouTube to decentralized storage on Joystream. The system continuously mirrors videos from more than 10,000…

Cryptography and Security · Computer Science 2026-05-05 Muhammad Zeeshan Akram

Information-based attacks on social media, such as disinformation campaigns and propaganda, are emerging cybersecurity threats. The security community has focused on countering these threats on social media platforms like X and Reddit.…

Social and Information Networks · Computer Science 2024-06-13 Klim Kireev , Yevhen Mykhno , Carmela Troncoso , Rebekah Overdorf

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,…

Social and Information Networks · Computer Science 2020-01-24 Jason Baumgartner , Savvas Zannettou , Megan Squire , Jeremy Blackburn

This paper presents the first comprehensive analysis of an emerging cryptocurrency scam named "arbitrage bot" disseminated on online social networks. The scam revolves around Decentralized Exchanges (DEX) arbitrage and aims to lure victims…

Cryptography and Security · Computer Science 2023-10-20 Kai Li , Shixuan Guan , Darren Lee

Instant messaging platforms such as Telegram became one of the main means of communication used by people all over the world. Most of them are home of several groups and channels that connect thousands of people focused on political topics.…

Social and Information Networks · Computer Science 2022-02-11 Manoel Júnior , Philipe Melo , Daniel Kansaon , Vitor Mafra , Kaio Sá , Fabrício Benevenuto

[WhitePaper] The TelegramScrap tool provides a robust and versatile solution for extracting and analyzing data from Telegram channels and groups, addressing the increasing demand for efficient methods to study digital ecosystems. This white…

Computers and Society · Computer Science 2024-12-24 Ergon Cugler de Moraes Silva

The paper presents the outcomes of AI-COVID19, our project aimed at better understanding of misinformation flow about COVID-19 across social media platforms. The specific focus of the study reported in this paper is on collecting data from…

Social and Information Networks · Computer Science 2022-04-28 Jose Sosa , Serge Sharoff
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