Results 11 to 20 of about 268 (150)
Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection
IEEE Access, 2022 When people use social networks, they often fall prey to a clickbait scam. The scammer attempts to create a striking headline that attracts the majority of users and attaches a link.
Abdul Razaque +7 more
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IEEE Open Journal of the Computer Society, 2022 Clickbait is a commonly used social engineering technique to carry out phishing attacks, illegitimate marketing, and dissemination of disinformation.
Feng Wei, Uyen Trang Nguyen
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Applied Sciences, 2021 The widespread usage of social media has led to the increasing popularity of online advertisements, which have been accompanied by a disturbing spread of clickbait headlines.
Mohammed Al-Sarem +8 more
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Advances in Clickbait and Fake News Detection Using New Language-independent Strategies
Journal of Communications Software and Systems, 2021 Online publishers rely on different techniques to trap web visitors, clickbait being one such technique. Besides being a bad habit, clickbait is also a strong indicator for fake news spreading.
Claudia Ioana Coste, Darius Bufnea
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Stop Clickbait: Detecting and preventing clickbaits in online news media [PDF]
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Chakraborty, Abhijnan +3 more
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Clickbait detection using multiple categorisation techniques [PDF]
Journal of Information Science, 2019 Clickbaits are online articles with deliberately designed misleading titles for luring more and more readers to open the intended web page. Clickbaits are used to tempt visitors to click on a particular link either to monetise the landing page or to spread the false news for sensationalisation.
Abinash Pujahari, Dilip Singh Sisodia
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MALICIOUS WEB LINKS DETECTION - A COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS
Studia Universitatis Babes-Bolyai: Series Informatica, 2023 One of the most challenging categories of threats circulating in the online world is social engineering, with malicious web links, fake news, clickbait, and other tactics.
Claudia-Ioana COSTE
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Automatic Detection of Clickbait Headlines Using Semantic Analysis and Machine Learning Techniques
Applied Sciences, 2023 Clickbait headlines are misleading headiness designed to attract attention and entice users to click on the link. Links can host malware, trojans and phishing attacks. Clickbaiting is one of the more subtle methods used by hackers and scammers. For these
Mark Bronakowski +2 more
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BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset
Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Processings, 2023 8 pages, 3 figures, 5 tables, published in Recent Advances in Natural Language Processing ...
Mahtab, Md. Motahar +3 more
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Context-Aware Deep Markov Random Fields for Fake News Detection
IEEE Access, 2021 Fake news is a serious problem, which has received considerable attention from both industry and academic communities. Over the past years, many fake news detection approaches have been introduced, and most of the existing methods rely on either news ...
Tien Huu Do +4 more
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