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LSTMCNN: A hybrid machine learning model to unmask fake news. [PDF]
HeliyonDev DG +4 more
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Discovering why people believe disinformation about healthcare. [PDF]
PLoS OneGeorge JF.
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Lodz Papers in Pragmatics, 2023
Abstract The prevalence of sensationalized headlines and deceptive narratives in online content has prompted the need for effective clickbait detection methods. This study delves into the nuances of clickbait in Hebrew, scrutinizing diverse features such as linguistic and structural features, and exploring various types of clickbait in ...
Talya Natanya, Chaya Liebeskind
exaly +2 more sources
Abstract The prevalence of sensationalized headlines and deceptive narratives in online content has prompted the need for effective clickbait detection methods. This study delves into the nuances of clickbait in Hebrew, scrutinizing diverse features such as linguistic and structural features, and exploring various types of clickbait in ...
Talya Natanya, Chaya Liebeskind
exaly +2 more sources
Journal of Information Science, 2023 Clickbait is a strategy that aims to attract people's attention and direct them to specific content. Clickbait titles, created by the information that is not included in the main content or using intriguing expressions with various text-related features,
Elif Surer
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Clickbait Convolutional Neural Network
Symmetry, 2018 With the development of online advertisements, clickbait spread wider and wider. Clickbait dissatisfies users because the article content does not match their expectation.
Hai-Tao Zheng +2 more
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Clickbait Analysis and Detection Method on Chinese Social Media
2022 8th International Conference on Big Data Computing and Communications (BigCom), 2022Xiaofei Wu
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Proceedings of the 7th International Conference on Software and Information Engineering, 2018
Clickbait is a term that describes deceiving web content that uses ambiguity to provoke the user into clicking a link. It aims to increase the number of online readers in order to generate more advertising revenue. Clickbaits are heavily present on social media platforms wasting the time of users.
Suhaib R. Khater +3 more
openaire +1 more source
Clickbait is a term that describes deceiving web content that uses ambiguity to provoke the user into clicking a link. It aims to increase the number of online readers in order to generate more advertising revenue. Clickbaits are heavily present on social media platforms wasting the time of users.
Suhaib R. Khater +3 more
openaire +1 more source
Clickbait in Social Media: Detection and Analysis of the Bait
2021 55th Annual Conference on Information Sciences and Systems (CISS), 2021Taking advantage of visual-centric social media's rising popularity, content creators have started using enticing images to lure users into clicking on bothersome clickbaits, in place of previously used text-based baits. In addition, the development of a single model to detect clickbait on multiple image-centric social media platforms is largely an ...
Mini Jain +3 more
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A Clickbait Detection Method on News Sites
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018The use of internet news sites increases day by day. The internet has gone beyond institutions and organizations to provide a different service and there have been attempts to provide services only through the internet and thus to earn money. It can also be a organization or an individual who opens an account on the social network and provides ...
Ayse Geckil +3 more
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