Clickbait Detection
Clickbait Detection is a computational method designed to identify online content that employs misleading or exaggerated headlines to attract user clicks, distinguished from related misinformation detection techniques by its specific focus on manipulative engagement tactics rather than factual inaccuracy.
80
Publications
4.6K
Citations
234
Authors
109
Institutions
Publications per year
2017–2026
74
Parents
80
Yimin Chen, Niall Conroy, Victoria L. Rubin · 2015 · 429 citations
Detecting Fake News in Social Media Networks
Monther Aldwairi, Ali Alwahedi · Procedia Computer Science · 2018 · 358 citations · Full text
Atishay Jain, Vir V. Phoha, Reza Zafarani · Digital Threats Research and Practice · 2020 · 236 citations · Full text
1–5 of 80
234
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3
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International Institute of Information Technology, Hyderabad, India
3 publications · 87 citations
3
h-index
3
h-index
3
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1–5 of 234
109
Syracuse University
Syracuse, United States
3 h-index
12 publications
1.3K citations
Taif University
Ta'if, Saudi Arabia
2 h-index
2 publications
42 citations
International Information Technologies University
Almaty, Kazakhstan
2 h-index
3 publications
63 citations
Manipal Academy of Higher Education
Manipal, India
2 h-index
2 publications
65 citations

Indraprastha Institute of Information Technology Delhi
Delhi, India
2 h-index
2 publications
73 citations
University of Tabuk
Tabuk, Saudi Arabia
2 h-index
2 publications
42 citations
International Institute of Information Technology, Hyderabad
Hyderabad, India
2 h-index
8 publications
260 citations

Western University
London, Canada
2 h-index
9 publications
1.4K citations
1–8 of 109
Repository · 14 publications · 511 citations
13
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3 publications · 115 citations
3
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3 publications · 74 citations
3
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3 publications · 97 citations
3
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2 publications · 380 citations
2
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1–5