Fake News Detection Based on Cross-Modal Ambiguity Computation and Multi-Scale Feature Fusion

With the rapid growth of social media, the spread of fake news has become a growing problem, misleading the public and causing significant harm. As social media content is often composed of both images and text, the use of mu... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.060025
Citations
1
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
4.20

Funders

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article

Fake News Detection Based on Cross-Modal Ambiguity Computation and Multi-Scale Feature Fusion

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1 citations
Computers, materials & continua/Computers, materials & continua (Print)
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4.20
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Fake News Detection Based on Cross-Modal Ambiguity Computation and Multi-Scale Feature Fusion

Wenqian Shang, Jianxiang Cao, Haibin Zhu, Jiajun Cai, Kang Song, Jinyang Wu, Tong Yi, Chunhua Wang
article en
1 citations

Abstract

With the rapid growth of social media, the spread of fake news has become a growing problem, misleading the public and causing significant harm. As social media content is often composed of both images and text, the use of mu... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 83(2)
Communication University of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 9%
Misinformation and Its Impacts
4.20
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Fake News Detection Based on Cross-Modal Ambiguity Computation and Multi-Scale Feature Fusion — Wenqian Shang, Jianxiang Cao, et al. · Computers, materials & continua/Computers, materials & continua (Print) (2025) | TGRS Research Map | TGRS