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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
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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 ...
Talya Natanya, Chaya Liebeskind
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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
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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
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Data Technologies and Applications, 2023
PurposeA clickbait is a deceptive headline designed to boost ad revenue without presenting closely relevant content. There are numerous negative repercussions of clickbait, such as causing viewers to feel tricked and unhappy, causing long-term confusion, and even attracting cyber criminals.
Hei-Chia Wang +2 more
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PurposeA clickbait is a deceptive headline designed to boost ad revenue without presenting closely relevant content. There are numerous negative repercussions of clickbait, such as causing viewers to feel tricked and unhappy, causing long-term confusion, and even attracting cyber criminals.
Hei-Chia Wang +2 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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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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Clickbait Detection Using Swarm Intelligence
2019Clickbaits are the articles containing catchy headlines which lure the reader to explore full content, but do not have any useful information. Detecting clickbaits solely by the headline without opening the link, can serve as a utility for users over internet. This can prevent their time from useless surfing caused by exploring clickbaits.
Deepanshu Pandey +2 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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Clickbait detection using deep learning
2016 2nd International Conference on Next Generation Computing Technologies (NGCT), 2016Clickbaits, in social media, are exaggerated headlines whose main motive is to mislead the reader to “click” on them. They create a nuisance in the online experience by creating a lure towards poor content. Online content creators are utilizing more of them to get increased page views and thereby more ad revenue without providing the backing content ...
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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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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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