ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model

arXiv:2403.06765v1 Announce Type: new
Abstract: The internet has brought both benefits and harms to society. A prime example of the latter is misinformation, including conspiracy theories, which flood the web. Recent advances in natural language processing, particularly the emergence of large language models (LLMs), have improved the prospects of accurate misinformation detection. However, most LLM-based approaches to conspiracy theory detection focus only on binary classification and fail to account for the important relationship between misinformation and affective features (i.e., sentiment …

arxiv conspiracy cs.cl detection emotion language language model large language large language model theory type