Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
Institute of Computing Technology · University of Chinese Academy of Sciences · +2 more institutions
Abstract
Detecting fake news requires both a delicate sense of diverse clues and a profound understanding of the real-world background, which remains challenging for detectors based on small language models (SLMs) due to their knowledge and capability limitations. Recent advances in large language models (LLMs) have shown remarkable performance in various tasks, but whether and how LLMs could help with fake news detection remains underexplored. In this paper, we investigate the potential of LLMs in fake news detection. First, we conduct an empirical study and find that a sophisticated LLM such as GPT 3.5 could generally expose fake news and provide desirable multi-perspective rationales but still underperforms the…
Citation impact
- FWCI
- 135.58
- Percentile
- 100%
- References
- 58
Authors
7- BHBeizhe HuCorresponding
Institute of Computing Technology, University of Chinese Academy of Sciences
- QSQiang Sheng
Chinese Academy of Sciences, Institute of Computing Technology
- JCJuan Cao
Institute of Computing Technology, University of Chinese Academy of Sciences
- YSYuhui Shi
Institute of Computing Technology, University of Chinese Academy of Sciences
- YLYang Li
Institute of Computing Technology, University of Chinese Academy of Sciences
Topics & keywords
- Fake news
- Computer science
- Psychology
- Internet privacy
- Data science
- Sociology