Fake News Detection Using Convolutional Neural Networks and Random Forest—A Hybrid Approach

Hitesh Narayan Soneji; Sughosh Sudhanvan

doi:10.1007/978-981-33-6691-6_39

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Fake News Detection Using Convolutional Neural Networks and Random Forest—A Hybrid Approach

Hitesh Narayan Soneji Sughosh Sudhanvan

Year: 2021 Algorithms for intelligent systems Pages: 349-359 Publisher: Springer Nature

DOI: 10.1007/978-981-33-6691-6_39

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Keywords:

Misinformation Computer science Random forest Convolutional neural network Social media Fake news Metadata Internet privacy Artificial intelligence World Wide Web Computer security

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Cited By

1.80

FWCI (Field Weighted Citation Impact)

Refs

0.84

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Misinformation and Its Impacts

Social Sciences → Social Sciences → Sociology and Political Science

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

Fake News Detection Using Convolutional Neural Networks and Random Forest—A Hybrid Approach

Metrics

Citation History

Topics

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Fake News Detection Using Hybrid Approach