ICTMCG / FTT-ACL23

Official repository for "Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection", ACL 2023

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FTT: Forecasting Temporal Trends for Fake News Detection

Official repository for "Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection", ACL 2023.

Citation

@inproceedings{FTT, 
title={Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection}, 
author={Hu, Beizhe and Sheng, Qiang and Cao, Juan and Zhu, Yongchun and Wang, Danding and Wang, Zhengjia and Jin, Zhiwei}, 
booktitle={Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics: Industry Track}, 
year={2023}, 
publisher={Association for Computational Linguistics} 
} 

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Official repository for "Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection", ACL 2023


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Language:Python 92.1%Language:Jupyter Notebook 4.2%Language:Shell 3.7%