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New method extracts conspiratorial actors from German Telegram posts · 2 sources tracked

Researchers have developed a method for identifying and extracting conspiratorial actors from German Telegram posts. This approach involves creating annotation guidelines and a corpus of annotated posts, which are then used to train transformer-based models for automatic extraction. The developed model was applied to the Schwurbelarchiv, a large collection of German conspiracy-related Telegram channels, demonstrating the feasibility of large-scale analysis of actor representations in conspiracy narratives. AI

IMPACT Enables large-scale analysis of actor representations in conspiracy narratives, potentially aiding in understanding and combating disinformation.

RANK_REASON The cluster contains an academic paper detailing a new methodology for NLP tasks.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New method extracts conspiratorial actors from German Telegram posts · 2 sources tracked

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Helena Mihaljevi\'c, Jolanda Beer, Mareike Lisker, Katharina Soemer ·

    Who's Behind It? Annotating and Extracting Conspiratorial Actors from German Telegram Posts

    arXiv:2607.04962v1 Announce Type: new Abstract: Conspiracy theories commonly attribute important events to the actions of powerful and secretive actors. While computational research has largely focused on document-level analyses of conspiracy theories, less attention has been pai…

  2. arXiv cs.CL TIER_1 English(EN) · Katharina Soemer ·

    Who's Behind It? Annotating and Extracting Conspiratorial Actors from German Telegram Posts

    Conspiracy theories commonly attribute important events to the actions of powerful and secretive actors. While computational research has largely focused on document-level analyses of conspiracy theories, less attention has been paid to identifying the actors that drive such narr…