Hybrid weakly supervised learning with deep learning technique for detection of fake news from cyber propaganda-Reference-Cited by-同舟云学术

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Hybrid weakly supervised learning with deep learning technique for detection of fake news from cyber propaganda

Published:2023-09 Issue: Volume:19 Page:100309
ISSN:2590-0056
Container-title:Array
language:en
Short-container-title:Array

Author:

Syed Liyakathunisa^ORCID,Alsaeedi Abdullah,Alhuri Lina A.,Aljohani Hutaf R.

Publisher

Elsevier BV

Subject

General Computer Science

Reference36 articles.

1. Social media as a news source worldwide;Watson,2022

2. A study of manipulation and abuses on social media;Goswami;Mediascpe in 21st Century,2018

3. Fake news detection: a deep learning approach;Thota;SMU Data Science Review,2018

4. Fake news spreads faster than accurate news on Twitter—thanks to people, not bots;Langin,2018

5. Deep learning-based rumor detection on microblogging platforms: a systematic review;Al-Sarem;IEEE Access,2019

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1. A novel approach to fake news classification using LSTM-based deep learning models;Frontiers in Big Data;2024-01-08

2. NLP-driven Content Classification Towards Fake News and Bully Detection;2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings);2023-09-16

3. MODERN APPROACHES TO DETECTING AND COMBATING DISINFORMATION IN INFORMATION SYSTEMS: ANALYSIS AND IMPROVEMENT;Computer Design Systems. Theory and Practice;2023

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