Scientific Appearance in Telegram

Authors

  • Jeong-Eun Choi Fraunhofer Institute for Secure Information Technology SIT ATHENE - National Research Center for Applied Cybersecurity
  • Karla Schäfer Fraunhofer Institute for Secure Information Technology SIT ATHENE - National Research Center for Applied Cybersecurity
  • York Yannikos Fraunhofer Institute for Secure Information Technology SIT ATHENE - National Research Center for Applied Cybersecurity

DOI:

https://doi.org/10.1609/icwsm.v18i1.31451

Abstract

This paper examines the influence of scientific appearance (SA) on post dissemination and analyses a dataset of important actors in Germany, specifically those involved in the dissemination of disinformation on the social media platform Telegram. SA is identified through textual elements such as predefined keywords or digital object identifiers (DOIs). Characteristics and behaviours of actors with and without SA are compared using metadata such as forward counts and original posts. The additional content analysis provides insights into SA's usage and impact. The findings indicate that SA may influence the dissemination of posts and demonstrate how different methods can be applied for studying social media platforms.

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Published

2024-05-28

How to Cite

Choi, J.-E., Schäfer, K., & Yannikos, Y. (2024). Scientific Appearance in Telegram. Proceedings of the International AAAI Conference on Web and Social Media, 18(1), 2091-2096. https://doi.org/10.1609/icwsm.v18i1.31451