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research-article

Unsupervised Rumor Detection Based on Propagation Tree VAE

Authors:

Tao LiAuthors Info & Claims

IEEE Transactions on Knowledge and Data Engineering, Volume 35, Issue 10

Pages 10309 - 10323

https://doi.org/10.1109/TKDE.2023.3267821

Published: 01 October 2023 Publication History

Abstract

The wide spread of rumors inflicts damages on social media platforms. Detecting rumors has become an emerging problem concerning the public and government. A crucial problem for rumors detection on social media is the lack of reliably pre-annotated dataset to train classification models. To solve this problem, we propose an unsupervised model that detects rumors by measuring how well the tweets follow the normal patterns. However, the problem is challenging in how to automatically discover the normal patterns of tweets. To tackle the challenge, we first propose a novel tree variational autoencoder model that reconstructs the sentiment labels along the propagation tree of a factual tweet. Then we propose a cross-alignment method to align the multiple modalities, i.e., tree structure and propagation features, and output the final prediction results. We conduct extensive experiments on a real-world dataset collected from Weibo. The experiments show that the proposed method significantly outperforms the state-of-the-art unsupervised methods and adapts better to the concept drift than state-of-the-art supervised methods.

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Cited By

Zeng JLi XMa X(2025)PPTopicPLM: plug-and-play topic-enhanced pre-trained language model for short-text rumor detectionThe Journal of Supercomputing10.1007/s11227-024-06549-081:1Online publication date: 1-Jan-2025
https://dl.acm.org/doi/10.1007/s11227-024-06549-0
Xiao YLi XZhang QLv RLi QWang R(2024)Spreading Mosaic: An Image Restoration-Inspired Social Rumor Propagation ModelIEEE Transactions on Multimedia10.1109/TMM.2023.330509526(2906-2917)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3305095
Li JBin YPeng LYang YLi YJin HHuang Z(2024)Focusing on Relevant Responses for Multi-Modal Rumor DetectionIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.338969436:11(6225-6236)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1109/TKDE.2024.3389694
Show More Cited By

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cover image IEEE Transactions on Knowledge and Data Engineering

IEEE Transactions on Knowledge and Data Engineering Volume 35, Issue 10

Oct. 2023

1088 pages

ISSN:1041-4347

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1041-4347 © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.

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IEEE Educational Activities Department

United States

Publication History

Published: 01 October 2023

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Cited By

Zeng JLi XMa X(2025)PPTopicPLM: plug-and-play topic-enhanced pre-trained language model for short-text rumor detectionThe Journal of Supercomputing10.1007/s11227-024-06549-081:1Online publication date: 1-Jan-2025
https://dl.acm.org/doi/10.1007/s11227-024-06549-0
Xiao YLi XZhang QLv RLi QWang R(2024)Spreading Mosaic: An Image Restoration-Inspired Social Rumor Propagation ModelIEEE Transactions on Multimedia10.1109/TMM.2023.330509526(2906-2917)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3305095
Li JBin YPeng LYang YLi YJin HHuang Z(2024)Focusing on Relevant Responses for Multi-Modal Rumor DetectionIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.338969436:11(6225-6236)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1109/TKDE.2024.3389694
Huynh LKilcullen JHong J(2024)Rumor Alteration for Improving Rumor GenerationWeb Information Systems Engineering – WISE 202410.1007/978-981-96-0576-7_26(352-362)Online publication date: 2-Dec-2024
https://dl.acm.org/doi/10.1007/978-981-96-0576-7_26

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