Sustainable signals: a heterogeneous graph neural framework for fake news detection

Author:

Malla Adil MudasirORCID,Banka Asif Ali

Publisher

Springer Science and Business Media LLC

Reference34 articles.

1. Antony Vijay J, Anwar Basha H, Arun Nehru J (2020) A dynamic approach for detecting fake news using random forest classifier and nlp. In: Computational methods and data engineering: Proceedings of ICMDE , Vol. 2, pp 331–341. Springer, Singapore

2. Center PR (2021) More than eight-in-ten americans get news from digital devices. Accessed on 10 Nov 2023 (https://www.pewresearch.org/short-reads/2021/01/12/more-than-eight-in-ten-americans-get-news-from-digital-devices/

3. Chandra S, Mishra P, Yannakoudakis H, Shutova E (2020) Graph-based modeling of online communities for fake news detection. arXiv preprint arXiv:2008.06274 (2020)

4. Devlin J, Chang M-W, Lee K, Toutanova K (2018) Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805

5. Dou Y, Shu K, Xia C, Yu PS., Sun L (2021) User preference-aware fake news detection. In: Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval, pp 2051–2055

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