3 papers
cs.CL2026
Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation
Xinyu Wang, Sai Koneru, Wenbo Zhang +3
Recent advances in large language models (LLMs) have enabled the large-scale generation of highly fluent and deceptive news-like content. While prior work has often treated fake ne…
cs.CL2025
Have LLMs Reopened the Pandora's Box of AI-Generated Fake News?
Xinyu Wang, Wenbo Zhang, Sai Koneru +5
With the rise of AI-generated content spewed at scale from large language models (LLMs), genuine concerns about the spread of fake news have intensified. The perceived ability of L…
cs.CL2025
Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Survey
Xinyu Wang, Wenbo Zhang, Sarah Rajtmajer
In today's global digital landscape, misinformation transcends linguistic boundaries, posing a significant challenge for moderation systems. Most approaches to misinformation detec…