FakeClaim: A Multiple Platform-driven Dataset for Identification of Fake News on 2023 Israel-Hamas War

January 29, 2024 ยท Declared Dead ยท ๐Ÿ› European Conference on Information Retrieval

๐Ÿ’€ CAUSE OF DEATH: 404 Not Found
Code link is broken/dead
Authors Gautam Kishore Shahi, Amit Kumar Jaiswal, Thomas Mandl arXiv ID 2401.16625 Category cs.IR: Information Retrieval Cross-listed cs.SI Citations 6 Venue European Conference on Information Retrieval Repository https://github.com/Gautamshahi/FakeClaim} Last Checked 1 month ago
Abstract
We contribute the first publicly available dataset of factual claims from different platforms and fake YouTube videos on the 2023 Israel-Hamas war for automatic fake YouTube video classification. The FakeClaim data is collected from 60 fact-checking organizations in 30 languages and enriched with metadata from the fact-checking organizations curated by trained journalists specialized in fact-checking. Further, we classify fake videos within the subset of YouTube videos using textual information and user comments. We used a pre-trained model to classify each video with different feature combinations. Our best-performing fine-tuned language model, Universal Sentence Encoder (USE), achieves a Macro F1 of 87\%, which shows that the trained model can be helpful for debunking fake videos using the comments from the user discussion. The dataset is available on Github\footnote{https://github.com/Gautamshahi/FakeClaim}
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

๐Ÿ“œ Similar Papers

In the same crypt โ€” Information Retrieval

Died the same way โ€” ๐Ÿ’€ 404 Not Found