Leveraging LLM-Generated Explanations for Detecting Emotionally Rewritten Fake News

arXiv 2610.08835v1•7b963d4882c8495b195824153a79cf5ef4d6838e9793e8e2f9e4ca7c4e002506

Paper metadata

arXiv ID
2610.08835
Version
v1
Category
cs.AI, cs.CL
Authors
Yupei Guo, Jiajun He, Xiaohan Shi, Tomoki Toda, Zekun Yang, Bowen Wang, Yukinobu Taniguchi
Publication date
2026-10-08T04:00:00Z
Source identifier
2610.08835v1
Public record ID
record:sha256:7b963d4882c8495b195824153a79cf5ef4d6838e9793e8e2f9e4ca7c4e002506

Source license ↗

The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.

This is source-provided metadata, not an enriched summary or an impact assessment. Follow the canonical source link for the published material.

Evidence and limitations

Source ID
arxiv_research
Record identifier
7b963d4882c8495b195824153a79cf5ef4d6838e9793e8e2f9e4ca7c4e002506
Record type
Source metadata

This record may overlap with other records. Source metadata can be incomplete or change. Validate consequential decisions against the linked source and your own environment.

Record · Leveraging LLM-Generated Explanations for Detecting Emotionally Rewritten Fake News · Baitaphish