NettetThe natural language processing techniques are used to extract 19 manually selected features from article headlines. Contribution: Three ensemble learning techniques including bagging, boosting, and random forests are used to design a classifier model for classifying a given headline into the clickbait or non-clickbait.
[2107.12791] Clickbait Detection in YouTube Videos - arXiv.org
Nettet23. jun. 2024 · As clickbait, they crawled 8,069 Web articles from several Web domains, such as BuzzFeed, ViralNova Footnote 2, ScoopWhoop Footnote 3, and ViralStories Footnote 4. They used a set of 14 features spanning linguistic analysis, word patterns, and N-gram for training their classifier. Nettet28. des. 2024 · 3.1 Data Collection, Storage and Filtering. The first stage of the study has been the detection of the most or least Clickbait news sites and the Twitter accounts of these news sites. At this stage, this is valid for almost all of the contents of the news sites and Twitter accounts which broadcasts in Turkey.. rsv and rhinovirus infections
Understanding Clickbait: Its Benefits and Drawbacks
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