A Survey on False Information Detection: From A Perspective of Propagation on Social Networks

Kun Xie; Sibo Wang

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arXiv · 2506.18052

A Survey on False Information Detection: From A Perspective of Propagation on Social Networks

Kun Xie·Sibo Wang

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Abstract

The proliferation of false information in the digital age has become a pressing concern, necessitating the development of effective and robust detection methods. This paper offers a comprehensive review of existing false information detection techniques, approached from a novel perspective that emphasizes the propagation characteristics of misinformation. We introduce a new taxonomy that categorizes these methods into homogeneous and heterogeneous propagation-based approaches, providing a deeper understanding of the varying scopes and complexities involved in information dissemination. For each category, we present a formal problem formulation, review commonly used datasets, and summarize state-of-the-art methods. Additionally, we identify several promising directions for future research, including the creation of a unified benchmark suite, exploration of diverse information modalities, and development of innovative rumor debunking tasks. By systematically organizing the vast array of current techniques, this work offers a clear overview of the research landscape, aiding researchers and practitioners in navigating this complex field and inspiring further advancements.

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Kun Xie, Sibo Wang. 2025-06-22. A Survey on False Information Detection: From A Perspective of Propagation on Social Networks. https://arxiv.org/abs/2506.18052

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