Official-NV: An LLM-Generated News Video Dataset for Multimodal Fake News Detection

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View a PDF of the paper titled Official-NV: An LLM-Generated News Video Dataset for Multimodal Fake News Detection, by Yihao Wang and 3 other authors

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Abstract:News media, especially video news media, have penetrated into every aspect of daily life, which also brings the risk of fake news. Therefore, multimodal fake news detection has recently garnered increased attention. However, the existing datasets are comprised of user-uploaded videos and contain an excess amounts of superfluous data, which introduces noise into the model training process. To address this issue, we construct a dataset named Official-NV, comprising officially published news videos. The crawl officially published videos are augmented through the use of LLMs-based generation and manual verification, thereby expanding the dataset. Furthermore, the proposed dataset is benchmarked against several baselines to demonstrate its effectiveness in multimodal news detection.

Submission history

From: Yihao Wang [view email]
[v1]
Sun, 28 Jul 2024 13:23:43 UTC (12,159 KB)
[v2]
Wed, 18 Sep 2024 00:31:27 UTC (12,105 KB)



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