ETMA: Efficient Transformer-Based Multilevel Attention Framework for Multimodal Fake News Detection-Reference-Cited by-同舟云学术

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ETMA: Efficient Transformer-Based Multilevel Attention Framework for Multimodal Fake News Detection

Published:2023 Issue: Volume: Page:1-13
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Yadav Ashima¹^ORCID,Gaba Shivani¹^ORCID,Khan Haneef²,Budhiraja Ishan¹^ORCID,Singh Akansha¹^ORCID,Singh Krishna Kant³^ORCID

Affiliation:

1. School of Computer Science Engineering and Technology, Bennett University, Greater Noida, Uttar Pradesh, India

2. College of Computer Science and Information Technology, Jazan University, Jazan, Saudi Arabia

3. Department of Computer Science and Engineering, ASET, Amity University, Noida, Uttar Pradesh, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/6780646/10077443.pdf?arnumber=10077443

Cited by 9 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. Transformer-based models for combating rumours on microblogging platforms: a review;Artificial Intelligence Review;2024-07-20

2. Performance analysis of semantic veracity enhance (SVE) classifier for fake news detection and demystifying the online user behaviour in social media using sentiment analysis;Social Network Analysis and Mining;2024-01-31

3. An Improved Fake News Detection Model Using Hybrid Time Frequency-Inverse Document Frequency for Feature Extraction and AdaBoost Ensemble Model as a Classifier;Journal of Advances in Information Technology;2024

4. A Multimodal Fake News Detection Model with Self-supervised Unimodal Label Generation;Lecture Notes in Computer Science;2024

5. Emotion-Aware Fake News Detection on Social Media with BERT Embeddings;2023 International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA);2023-11-24

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