Fake news outbreak 2021: Can we stop the viral spread?
نویسندگان
چکیده
Social Networks' omnipresence and ease of use has revolutionized the generation distribution information in today's world. However, easy access to does not equal an increased level public knowledge. Unlike traditional media channels, social networks also facilitate faster wider spread disinformation misinformation. Viral false serious implications on behaviours, attitudes beliefs public, ultimately can seriously endanger democratic processes. Limiting information's negative impact through early detection control extensive presents main challenge facing researchers today. In this survey paper, we extensively analyze a wide range different solutions for fake news existing literature. More precisely, examine Machine Learning (ML) models identification classification news, online competitions, statistical outputs as well advantages disadvantages some available data sets. Finally, evaluate web browsing tools detecting mitigating present open research challenges.
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ژورنال
عنوان ژورنال: Journal of Network and Computer Applications
سال: 2021
ISSN: ['1084-8045', '1095-8592']
DOI: https://doi.org/10.1016/j.jnca.2021.103112