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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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Detecting Clickbait on Online News Sites
2019The aim of this study is to detect misleading news headlines and social media posts prepared to manipulate readers. The rapid expansion of digitalization has accelerated the transition from written news sources to the digital world. Previously printed newspapers and magazines were moved to the virtual environment, each with their own social media ...
Ayşe Geçkil +3 more
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Detecting Clickbaits Using Deep Forest
2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP), 2022Vlad Cofaru, Adrian Groza
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Clickbait Detection Based on Word Embedding Models
2018In recent years, social networking platform serves as a new media of news sharing and information diffusion. Social networking platform has become a part of our daily life. As such, social media advertising budgets have explosively expanded worldwide over the past few years. Due to the huge commercial interest, clickbait behaviors are commonly observed,
Vorakit Vorakitphan +2 more
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