Coordinated Information Dissemination on Telegram and Reddit During Political Turbulence: A Case Study of Venezuela in Global News Channels

2026-02-11

AI Summary

This study investigates whether nine major global news outlets coordinated the dissemination of near-duplicate content regarding Venezuela on Telegram between 2017 and 2026. To distinguish synchronized public attention from actual textual coordination, the authors introduce an “attention–coordination ratio” metric and develop a detection framework based on character n-gram TF–IDF cosine similarity combined with temporal co-occurrence. Robustness is validated through timestamp randomization, while Reddit data are leveraged to characterize public attention. Analysis of 2,038 Telegram messages reveals no evidence of cross-channel coordinated near-duplicate content at a similarity threshold of τ = 0.85. The findings suggest that, despite synchronized attention to major geopolitical events, mainstream media exhibit heterogeneous reporting practices without engaging in coordinated textual replication.

Technology Category

• Natural Language Processing: Fact-Checking / Misinformation Detection (NLP Focus)
• Application Domains: Misinformation & Fake News
• Game Theory and Economic Paradigms: Coordination and Collaboration

Application Category

• Web Mining and Content Analysis: Mining multimedia, multimodal, multilingual, cross-lingual Web data
• Social Networks and Social Media: Fairness and bias in social network and social media analysis
• Security and Privacy: Large-scale security measurements

Abstract

Telegram is increasingly used for political communication and news dissemination, yet evidence of coordinated content sharing remains limited. We test whether mainstream global news channels coordinate when reporting on Venezuela during political turbulence. We analyze public Telegram posts from nine major international outlets (2017--2026; 2,038 Venezuela-related messages) and define coordination as temporal co-posting (hourly/daily windows) plus near-duplicate text similarity using character $n$-gram TF--IDF cosine similarity. Similarity scores concentrate at low values and no cross-channel near-duplicate pairs are detected at $\tau=0.85$. A falsification test that randomizes timestamps within channels produces the same null result, indicating the pipeline does not create spurious coordination. Event-focused diagnostics show temporal lead--lag asymmetries consistent with heterogeneous editorial responsiveness, and narrative clustering during the January 3--6, 2026 peak reveals moderate framing diversity without separable narrative blocs. An Attention--Coordination Ratio formalizes sharp attention spikes in early January 2026 despite absent near-duplicate coordination, distinguishing synchronized attention from coordinated text reuse. We also collect an auxiliary Reddit dataset to contextualize public attention; however, cross-community coordination is not estimable due to structural sparsity (no comparable multi-subreddit daily buckets). Overall, even under major geopolitical shocks, mainstream Telegram news coverage is heterogeneous rather than near-duplicate coordinated.

Problem

• coordinated information dissemination
• political turbulence
• Telegram
• news coordination
• Venezuela

Innovation

• temporal co-posting
• n-gram TF-IDF cosine similarity
• near-duplicate detection
• Attention–Coordination Ratio
• falsification test