A transformer-based architecture for fake news classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-021-00738-y.pdf
Reference38 articles.
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2. Alhindi T (2018a) Where is your evidence: improving fact-checking by justification modeling. In: Proceedings of the first workshop on fact extraction and verification (FEVER), Brussels, Belgium, pp 85–90
3. Alhindi T, Petridis S, Muresan S (2018b) Where is your evidence: improving fact-checking by justification modeling. In: Proceedings of the first workshop on fact extraction
4. Aphiwongsophon S, Chongstitvatana P (2018). Detecting fake news with machine learning method, pp 528–531. https://doi.org/10.1109/ECTICon.2018.8620051
5. Balwant MK (2019) Bidirectional LSTM Based on POS tags and CNN architecture for fake news detection. In: 2019 10th international conference on computing, communication and networking technologies (ICCCNT). https://doi.org/10.1109/ICCCNT45670.2019.8944460
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