Current State of the Art to Detect Fake News in Social Media: Global Trendings and Next Challenges
Author:
Affiliation:
1. CRACS / INESCTEC and University of Porto, Rua do Campo Alegre, Porto and Portugal, --- Select a Country ---
2. Faculty of Computer Science, Dalhousie University, Halifax and Canada, --- Select a Country ---
Publisher
SCITEPRESS - Science and Technology Publications
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Deep Learning and Fusion Mechanism-based Multimodal Fake News Detection Methodologies: A Review;Engineering, Technology & Applied Science Research;2024-08-02
2. A Comparative Analysis of Machine Learning Models for Fake News Detection;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21
3. Fake textual and image news detection on social media using natural language processing;2023 International Conference on Advanced Computing Technologies and Applications (ICACTA);2023-10-06
4. Disinformation Detection: Knowledge Infusion with Transfer Learning and Visualizations;Lecture Notes in Computer Science;2023
5. Analysis and Prediction of Datasets for Deep Learning: A Systematic Review;Lecture Notes in Networks and Systems;2023
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