Results 1 to 10 of about 283 (152)
A unified approach for detection of Clickbait videos on YouTube using cognitive evidences [PDF]
Applied Intelligence, 2021 Dinesh Kumar Vishwakarma +1 more
exaly +2 more sources
Clickbait Detection in Indonesia Headline News Using IndoBERT and RoBERTa
Jurnal Riset Informatika, 2023 This paper explores clickbait detection using Transformer models, specifically IndoBERT and RoBERTa. The objective is to leverage the models specifically for clickbait detection accuracy by employing balancing and augmentation techniques on the dataset ...
Muhammad Edo Syahputra +2 more
doaj +1 more source
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 +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 Deep Recurrent Neural Network
Applied Sciences, 2022 People who use social networks often fall prey to clickbait, which is commonly exploited by scammers. The scammer attempts to create a striking headline that attracts the majority of users to click an attached link.
Abdul Razaque +5 more
doaj +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
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
doaj +1 more source
Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter
IEEE Access, 2021 In COVID-19 related infodemic, social media becomes a medium for wrongdoers to spread rumors, fake news, hoaxes, conspiracies, astroturf memes, clickbait, satire, smear campaigns, and other forms of deception.
Khubaib Ahmed Qureshi +3 more
doaj +1 more source
An Ensemble-Based Approach for Detecting Clickbait in Indonesian Online Media
Jurnal Masyarakat InformatikaClickbait headlines are widely used in online media to attract readers through exaggerated or misleading titles, potentially leading to user dissatisfaction and information overload. This study proposes a machine learning approach for detecting clickbait
Sandy Kurniawan +2 more
doaj +1 more source