A Proposed Bi-LSTM Method to Fake News Detection-Reference-Cited by-同舟云学术

A Proposed Bi-LSTM Method to Fake News Detection

Published:2022-01-21 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference for Advancement in Technology (ICONAT)
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Author:

Islam Taminul¹,Hosen MD Alamin¹,Mony Akhi¹,Hasan MD Touhid¹,Jahan Israt¹,Kundu Arindom¹

Affiliation:

1. Daffodil International University,Department of Computer Science & Engineering,Dhaka,Bangladessh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9725432/9725433/09725937.pdf?arnumber=9725937

Reference15 articles.

1. FakeCovid – a multilingual cross-domain fact check news dataset for covid-19;shahi;Workshop Proceedings of the 14th International AAAI Conference on Web and Social Media,0

2. Amused: An annotation framework of multi-modal social media data;shahi;ArXiv Preprint,2020

3. Transforming Fake News: Robust Generalisable News Classification Using Transformers

4. TRANSFAKE: Multi-task Transformer for Multimodal Enhanced Fake News Detection

5. The automatic identification of stop words

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