What's Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews

Misleading omissions can shift readers from the full article context.

Abstract

This paper studies omission-based misleadingness in multimodal news previews. It introduces MM-MISLEADING for evaluation and OM-GUARD for interpretation-aware detection and rationale-guided correction.

Publication
arXiv preprint arXiv:2601.05563
Fanxiao Li
Fanxiao Li
CSC Visiting Student (Sep ‘25)

Visiting student; interests include Multimodal Misinformation, Large Vision-Language Models.

Jiaying Wu
Jiaying Wu
Research Fellow (Jul ‘24)

Postdoctoral Research Fellow at WING & NUS CTIC

Herun Wan
Herun Wan
CSC Visiting Student (Oct ‘25)

Visiting student; interests include Online Malicious Content Analysis such as Misinformation Detection and Social Bot Detection.

Min-Yen Kan
Min-Yen Kan
Associate Professor

WING lead; interests include Digital Libraries, Information Retrieval and Natural Language Processing.