Escaping the neutralization effect of modality features fusion in multimodal Fake News Detection-Reference-Cited by-同舟云学术

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Escaping the neutralization effect of modality features fusion in multimodal Fake News Detection

Published:2024-11 Issue: Volume:111 Page:102500
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Wang Bing,Li Ximing,Li Changchun,Wang Shengsheng,Gao Wanfu

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

National Major Science and Technology Projects of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference60 articles.

1. Systematic literature review on the spread of health-related misinformation on social media;Wang;Soc. Sci. Med.,2019

2. The spread of true and false news online;Vosoughi;Science,2018

3. Misinformation: susceptibility, spread, and interventions to immunize the public;Van Der Linden;Nat. Med.,2022

4. Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA;Loomba;Nat. Hum. Behav.,2021

5. Fake news detection on social media: A data mining perspective;Shu;SIGKDD Explor.,2017

Cited by 2 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. What makes sentiment signals work? Sentiment and stance multi-task learning for fake news detection;Knowledge-Based Systems;2024-11

2. Learning Frequency-Aware Cross-Modal Interaction for Multimodal Fake News Detection;IEEE Transactions on Computational Social Systems;2024

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