Regensburg 2025 – wissenschaftliches Programm
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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 3: Poster
SOE 3.4: Poster
Montag, 17. März 2025, 17:30–19:30, P4
Analysis of (Mis)information Spread across Telegram Communities — Roman Ventzke1,2, Anastasia Golovin1,2, Sebastian Mohr1,2, Andreas Schneider1,2, and •Viola Priesemann1,2 — 1Max-Planck-Institut für Dynamik und Selbstorganisation, Göttingen — 2Georg-August-Universität Göttingen
Statistically, do lies spread better than the truth? To effectively combat the proliferation of misinformation in online social media, it is important to understand how content spreads in social networks. We investigate the dynamics of (mis)information diffusion on the Telegram messaging platform to understand if (and how) the spread of both true information and misinformation differs.
As a basis for this study, we employ a novel large dataset of messages from Telegram group chats and channels. This dataset comprises more than 2.3 billion messages from more than 150,000 different chats and focuses on COVID-19-related content since the start of the pandemic.
Tracking information propagation, we show that information spread can be modeled by a Random Field Ising Model. Our results show that on Telegram misinformation spreads further than reliable information and is linked to "super spreaders". We also investigate whether factors like emotional engagement can drive misinformation spread.
Keywords: social-media; complex contagion; random field Ising model; networks; infodemics