Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques-Reference-Cited by-同舟云学术

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Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques

Published:2024-04-18 Issue: Volume:2020 Page:1-10
ISSN:
Container-title:Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security
language:
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Author:

Roy Utsha¹^ORCID,Tahosin Mst Sazia¹^ORCID,Hasan Md. Mahedi¹^ORCID,Islam Taminul²^ORCID,Imtiaz Fahim¹^ORCID,Sadik Md Rezwane³^ORCID,Maleh Yassine⁴^ORCID,Sulaiman Rejwan Bin⁵^ORCID,Hassan Talukder Md Simul⁶^ORCID

Affiliation:

1. Department of Computer Science and Engineering , Daffodil International University, Bangladesh

2. School of Computing, Southern Illinois University, United States of America

3. Department of Economics & Decision Sciences , University of South Dakota, United States of America

4. yassine.maleh@ieee.org , Sultan Moulay Slimane University, Morocco

5. Northumbria University, United Kingdom

6. Bangladesh Atomic Energy Regulatory Authority, Bangladesh

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3659677.3659703

Reference35 articles.

1. Fake news outbreak 2021: Can we stop the viral spread?

2. Lexicon and Deep Learning-Based Approaches in Sentiment Analysis on Short Texts

3. Harnessing the power of AI: Advanced deep learning models optimization for accurate SARS-CoV-2 forecasting

4. A Deep Hybrid Learning Approach to Detect Bangla Fake News

5. L. Materassi, L. Solito, G. Ducci, and others, “Public sector communication facing the challenges of open government,” in Book of Abstracts. 6th World Conference on Media and Mass Communication MEDCOM 2020+ 1, 2021, p. 20.

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