Cited By
View all- Zhang SLi YSheng D(2024)An information support framework for chain reaction of major emergencies based on causality eventic graphData Technologies and Applications10.1108/DTA-01-2024-0048Online publication date: 17-Dec-2024
EEGCN: Event Evolutionary Graph Comparison Network for Multi-Modal Fake News Detection
Authors: 
Xiang Dai, Yue Wang, Xin Liu, Dan Song, Zhaobo Juan, Shengze Wang, Liangyu Lu, Haibo Liu, Jing ShenAuthors Info & Claims
Xiang Dai, Yue Wang, Xin Liu, Dan Song, Zhaobo Juan, Shengze Wang, Liangyu Lu, Haibo Liu, Jing ShenAuthors Info & ClaimsPages 27 - 32
Abstract
In the contemporary landscape characterized by the pervasive use of social media, the proliferation of counterfeit news has become conspicuous. Consequently, the precise identification of such disinformation has assumed paramount significance. However, several existing methods for fake news detection tend to focus solely on entity information within the text or relationships between multimodal information, often overlooking the inherent knowledge of event evolutionary patterns embedded within the news text. In order to address the aforementioned issue, we propose an Event Evolutionary Graph Comparison Network for multimodal fake news detection (EEGCN). The primary objective of this network is to assist in fake news detection by comparing the patterns of event evolution in text data with those in pre-constructed event evolutionary graph. In order to fully harness the capabilities of the Event Evolutionary Graph Comparison Network, various comparison methods were explored. Experimental results on the Weibo dataset demonstrate that EEGCN outperforms previous multimodal fake news detection models, achieving superior performance.
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Index Terms
- EEGCN: Event Evolutionary Graph Comparison Network for Multi-Modal Fake News Detection
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Published In
December 2023
252 pages
ISBN:9798400709241
DOI:10.1145/3639479
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Published: 28 February 2024
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- Innovation Theory Technology Group Fund of China Electronics Tian'ao Co., Ltd
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MLNLP 2023
MLNLP 2023: 2023 6th International Conference on Machine Learning and Natural Language Processing
December 27 - 29, 2023
Sanya, China
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View all- Zhang SLi YSheng D(2024)An information support framework for chain reaction of major emergencies based on causality eventic graphData Technologies and Applications10.1108/DTA-01-2024-0048Online publication date: 17-Dec-2024
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