Results 111 to 120 of about 283 (152)
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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 ...
Chaya Liebeskind, Talya Natanya
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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 ...
Chaya Liebeskind, Talya Natanya
exaly +2 more sources
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
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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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Deep Headline Generation for Clickbait Detection
2018 IEEE International Conference on Data Mining (ICDM), 2018Clickbaits are catchy social posts or sensational headlines that attempt to lure readers to click. Clickbaits are pervasive on social media and can have significant negative impacts on both users and media ecosystems. For example, users may be misled to receive inaccurate information or fall into click-jacking attacks.
Kai Shu +4 more
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A Novel Approach for Clickbait Detection
2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), 2019Clickbait refers to sensational headlines that often exaggerate facts, usually to entice readers to click on them. Many researchers have proposed different techniques involving various Machine Learning algorithms such as Support Vector Machine (SVM), Decision Tree, Random Forest, and Deep Learning techniques such as Recurrent Neural Network (RNN), Long
Sarjak Chawda +3 more
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A New Language Independent Strategy for Clickbait Detection
2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2020Clickbait is a bad habit of today’s web publishers, which resort to such a technique in order to deceive web visitors and increase publishers’ page views and advertising revenue. Clickbait incidence is also an indicator for fake news and so, clickbait detection represents a mean in the fight against spreading false information.
Claudia Ioana Coste +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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A Convolutional Neural Network for Clickbait Detection
2017 4th International Conference on Information Science and Control Engineering (ICISCE), 2017Click-baits are headlines that exaggerate the facts or hide the partial facts to attract user clicks. Click-baits deter readers from effectively and efficiently obtaining information in the era of information explosion, and will obviously affect user experience in news aggregator sites like Google News and Yahoo News.
Junfeng Fu +3 more
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