A Brief Survey for Fake News Detection via Deep Learning Models-Reference-Cited by-同舟云学术

A Brief Survey for Fake News Detection via Deep Learning Models

Published:2022 Issue: Volume:214 Page:1339-1344
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Li Jia,Lei Minglong

Publisher

Elsevier BV

Subject

General Engineering

Reference65 articles.

1. The impact of fake news on social media and its influence on health during the covid-19 pandemic: A systematic review;Rocha;Journal of Public Health,2021

2. Smartphones, social networks, and fake news: Institutional economics approach to decision making in the twenty-first century;Almeida;Journal of Economic Issues,2021

3. Uncovering the truth about fake news: A research model grounded in multi-disciplinary literature;George;Journal of Management Information Systems,2021

4. The psychology of fake news;Pennycook;Trends in Cognitive Sciences,2021

5. Of pandemics, politics, and personality: The role of conscientiousness and political ideology in the sharing of fake news;Lawson;Journal of Experimental Psychology: General,2022

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1. Deep Learning and Fusion Mechanism-based Multimodal Fake News Detection Methodologies: A Review;Engineering, Technology & Applied Science Research;2024-08-02

2. DeepNews: enhancing fake news detection using generative round network (GRN);International Journal of Information Technology;2024-06-23

3. Using and Comparison of Artificial Intelligence Techniques to Detect Misinformation and Disinformation on Twitter;The European Journal of Research and Development;2024-05-31

4. A Novel Ensemble Machine Learning and Deep Learning Techniques with Feature Extraction and Selection for Fake News Stance Detection: A Comparative Analysis;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

5. Implementation of Weight Adjusting GNN With Differentiable Pooling for User Preference-aware Fake News Detection;2024-02-09