Rumor Stance Classification in Online Social Networks: The State-of-the-Art, Prospects, and Future Challenges
Jamialahmadi S. Sahebi I. Sabermahani M.M. Shariatpanahi S.P. Dadlani A. Maham B.
2022Institute of Electrical and Electronics Engineers Inc.
IEEE Access
2022#10113131 - 113148 pp.
The emergence of the Internet as a ubiquitous technology has facilitated the rapid evolution of social media as the leading virtual platform for communication, content sharing, and information dissemination. In spite of revolutionizing the way news is delivered to people, this technology has also brought along with itself inevitable demerits. One such drawback is the spread of rumors expedited by social media platforms, which may provoke doubt and fear. Therefore, it is essential to debunk rumors before their widespread use. Over the years, many studies have been conducted to develop effective rumor verification systems. One aspect of such studies focuses on rumor stance classification, which involves the task of utilizing user viewpoints regarding a rumorous post to better predict the veracity of a rumor. Relying on user stances in rumor verification has gained significant importance, for it has resulted in significant improvements in the model performance. In this paper, we conduct a comprehensive literature review of rumor stance classification in complex online social networks (OSNs). In particular, we present a thorough description of these approaches and compare their performances. Moreover, we introduce multiple datasets available for this purpose and highlight their limitations. Finally, challenges and future directions are discussed to stimulate further relevant research efforts.
datasets , misinformation , Rumor detection , rumor stance classification , rumor verification , social networks
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University of Tehran, School of Electrical and Computer Engineering, College of Engineering, Tehran, 14399-57131, Iran
Amirkabir University of Technology, Department of Computer Engineering, Tehran, 15875-4413, Iran
Nazarbayev University, Department of Electrical and Computer Engineering, Nur-Sultan, 010000, Kazakhstan
University of Alberta, Faculty of Arts-Interdisciplinary Studies, Edmonton, T6G 2E7, Canada
University of Tehran
Amirkabir University of Technology
Nazarbayev University
University of Alberta
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