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Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques

Bibliographic Data

ID20034596
AuthorsHadeer Ahmed (0000-0001-9568-1563, University of Victoria, corresponding author), Issa Traoré (0000-0003-2987-8047, University of Victoria), Sherif Saad (0000-0002-5506-5261, University of Windsor)
Year2017
Pages127-138
Publication date2017-01-01
Peer ReviewedYes
Open AccessYes
TypeCHAPTER
VenueIntelligent, Secure, and Dependable Systems in Distributed and Cloud Environments (SOURCE_BOOK)
PublisherSpringer International Publishing (PUBLISHER • SG)
DOI10.1007/978-3-319-69155-8_9
OpenAlexW2763699126
ISBN9783319691558
LanguageEN
Citations received20
References cited4

Data mining · Feature extraction · Language model · Machine learning · n-gram · Social media · Support vector machine · tf–idf · World Wide Web · Computer Science · Misinformation and Its Impacts · Sentiment Analysis and Opinion Mining · Spam and Phishing Detection · Artificial Intelligence

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  • Typology, Etiology, and Fact-Checking

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  • Detecting Fake News on Social Media

    Open Access•Kai Shu, Huan Liu•Detecting Fake News on Social Media•2019

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  • False information detection in online content and its role in decision making

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Unique citing works20
Citations per year2,86
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 20

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