Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - AI Magazine, 2024 - Wiley Online Library
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

[HTML][HTML] Emotion detection for misinformation: A review

Z Liu, T Zhang, K Yang, P Thompson, Z Yu… - Information …, 2024 - Elsevier
With the advent of social media, an increasing number of netizens are sharing and reading
posts and news online. However, the huge volumes of misinformation (eg, fake news and …

Zero-shot rumor detection with propagation structure via prompt learning

H Lin, P Yi, J Ma, H Jiang, Z Luo, S Shi… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
The spread of rumors along with breaking events seriously hinders the truth in the era of
social media. Previous studies reveal that due to the lack of annotated resources, rumors …

MFIR: Multimodal fusion and inconsistency reasoning for explainable fake news detection

L Wu, Y Long, C Gao, Z Wang, Y Zhang - Information Fusion, 2023 - Elsevier
Fake news possesses a destructive and negative impact on our lives. With the rapid growth
of multimodal content in social media communities, multimodal fake news detection has …

Towards llm-based fact verification on news claims with a hierarchical step-by-step prompting method

X Zhang, W Gao - ar** techniques to identify and flag misleading or false
information disseminated through media sources. Current efforts often use limited …