Demystifying the Messaging Platforms' Ecosystem Through the Lens of Twitter
| Autor: | Manoel Pereira Junior, Philipe Melo, Anja Feldmann, Balakrishnan Chandrasekaran, Mohamad Hoseini, Fabrício Benevenuto, Savvas Zannettou |
|---|---|
| Přispěvatelé: | Computer Systems |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Change over time
Measurement Computer science 020206 networking & telecommunications 02 engineering and technology Discord Through-the-lens metering World Wide Web Messaging Platforms Privacy 020204 information systems 0202 electrical engineering electronic engineering information engineering Key (cryptography) Social media Set (psychology) Personally identifiable information Telegram |
| Zdroj: | IMC '20: Proceedings of the 2020 ACM Internet Measurement Conference IMC '20 Hoseini, M, Melo, P, Júnior, M, Benevenuto, F, Chandrasekaran, B, Feldmann, A & Zannettou, S 2020, Demystifying the Messaging Platforms' Ecosystem Through the Lens of Twitter . in IMC '20 : Proceedings of the 2020 ACM Internet Measurement Conference . Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC, Association for Computing Machinery, New York, NY, USA, pp. 345–359 . https://doi.org/10.1145/3419394.3423651 Internet Measurement Conference |
| DOI: | 10.1145/3419394.3423651 |
| Popis: | Online messaging platforms such as WhatsApp, Telegram, and Discord, each with hundreds of millions of users, are one of the dominant modes of communicating or interacting with one another. Despite the widespread use of public group chats, there exists no systematic or detailed characterization of these group chats. There is, more importantly, lack of a general understanding of how these (public) groups differ in characteristics and use across the different platforms. We also do not know whether the messaging platforms expose personally identifiable information, and we lack a comprehensive view of the privacy implications of leaks for the users.In this work, we address these gaps by analyzing the messaging platforms' ecosystem through the lens of a popular social media platform---Twitter. We search for WhatsApp, Telegram, and Discord group URLs posted on Twitter over a period of 38 days and amass a set of 351K unique group URLs. We analyze the content accompanied by group URLs on Twitter, finding interesting differences related to the topics of the groups across the multiple messaging platforms. By monitoring the characteristics of these groups, every day for more than a month, and, furthermore, by joining a subset of 616 groups across the different messaging platforms, we share key insights into the discovery of these groups via Twitter and reveal how these groups change over time. Finally, we analyze whether messaging platforms expose personally identifiable information. In this paper, we show that (a) Twitter is a rich source for discovering public groups in the different messaging platforms, (b) group URLs from messaging platforms are ephemeral, and (c) the considered messaging platforms expose personally identifiable information, with such leaks being more prevalent on WhatsApp than on Telegram and Discord. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|