3 papers
cs.SI2025
More than Memes: A Multimodal Topic Modeling Approach to Conspiracy Theories on Telegram
Elisabeth Steffen
To address the increasing prevalence of (audio-)visual data on social media, and to capture the evolving and dynamic nature of this communication, researchers have begun to explore…
cs.HC2025
Civil Society in the Loop: Feedback-Driven Adaptation of (L)LM-Assisted Classification in an Open-Source Telegram Monitoring Tool
Milena Pustet, Elisabeth Steffen, Helena MihaljeviÄ +2
The role of civil society organizations (CSOs) in monitoring harmful online content is increasingly crucial, especially as platform providers reduce their investment in content mod…
cs.CL2024
Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Models
Milena Pustet, Elisabeth Steffen, Helena MihaljeviÄ
The automated detection of conspiracy theories online typically relies on supervised learning. However, creating respective training data requires expertise, time and mental resili…