ARCNN framework for multimodal infodemic detection

Author:

Raj ChahatORCID,Meel Priyanka

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference44 articles.

1. Effect of corpora on classification of fake news using naive Bayes classifier;Adiba;International Journal of Automation, Artificial Intelligence and Machine Learning,2020

2. Fake news identification on Twitter with hybrid CNN and RNN models;Ajao,2018

3. An evolutionary fake news detection method for covid-19 pandemic information;Al-Ahmad;Symmetry,2021

4. Lies kill, facts save: Detecting COVID-19 misinformation in Twitter;Al-Rakhami;IEEE Access,2020

5. Global challenge of health communication: Infodemia in the coronavirus disease (COVID-19) pandemic;Allahverdipour;Journal of Education and Community Health,2020

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1. MMHFND: Fusing Modalities for Multimodal Multiclass Hindi Fake News Detection via Contrastive Learning;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-08-12

2. Cross-Modal Attention Network for Detecting Multimodal Misinformation From Multiple Platforms;IEEE Transactions on Computational Social Systems;2024-08

3. Rumor Detection Based on Cross-modal Information-enhanced Fusion Network;2024 16th International Conference on Advanced Computational Intelligence (ICACI);2024-05-16

4. MACCN: Multi-Modal Adaptive Co-Attention Fusion Contrastive Learning Networks for Fake News Detection;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Detecting fake news for COVID-19 using deep learning: a review;Multimedia Tools and Applications;2024-02-16

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