Results 11 to 20 of about 2,206 (147)
Clickbait Post Detection using NLP for Sustainable Content [PDF]
E3S Web of Conferences, 2023 Clickbait is a significant problem on online media platforms. It misleads users and manipulates their engagement. A user who clicks on a clickbait link may be taken to a website full of ads, or that requires them to pay for something.
Ganapati Raju N.V. +5 more
doaj +2 more sources
Similarity-aware deep attentive model for clickbait detection [PDF]
, 2019 © Springer Nature Switzerland AG 2019. Clickbait is a type of web content advertisements designed to entice readers into clicking accompanying links.
D Wang +7 more
core +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +2 more sources
Real or not? Identifying untrustworthy news websites using third-party partnerships [PDF]
, 2020 Untrustworthy content such as fake news and clickbait have become a pervasive problem on the Internet, causing significant socio-political problems around the world. Identifying untrustworthy content is a crucial step in countering them. The current best-
Gopal, Ram +5 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source