Click me…! The influence of clickbait on user engagement in social media and the role of digital nudging. [PDF]
PLoS ONE, 2022 Clickbait to make people click on a linked article is commonly used on social media. We analyze the impact of clickbait on user interaction on Facebook in the form of liking, sharing and commenting. For this, we use a data set of more than 4,400 Facebook
Anna-Katharina Jung +4 more
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EDISThis publication provides an overview of clickbait and its characteristics. The publication also discusses a few implications of clickbait use. Written by Nicole Patten, Ricky Telg, and Kevin Kent, and published by the UF/IFAS Department of Agricultural
Nicole Patten, Ricky Telg, Kevin Kent
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BaitBuster-Bangla: A comprehensive dataset for clickbait detection in Bangla with multi-feature and multi-modal analysis [PDF]
Data in BriefThis study presents a large multi-modal Bangla YouTube clickbait dataset consisting of 253,070 data points collected through an automated process using the YouTube API and Python web automation frameworks.
Abdullah Al Imran +2 more
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ViClickbait-2025: A comprehensive dataset for Vietnamese clickbait detectionMendeley Data [PDF]
Data in BriefViClickbait-2025 is a curated Vietnamese-language dataset developed to facilitate research on automatic clickbait detection. It comprises 3414 headline samples collected through web scraping from eight major Vietnamese online news platforms between 2023 ...
Dai Phuoc Nguyen +3 more
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Deep learning and sentence embeddings for detection of clickbait news from online content [PDF]
Scientific ReportsWith the rise of user-generated content, ensuring the authenticity and originality of online information has become increasingly challenging. Artificial intelligence (AI) and Natural Language Processing (NLP) play a crucial role in large-scale content ...
Amara Muqadas +5 more
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Towards better Hebrew clickbait detection: Insights from BERT and data augmentation. [PDF]
PLoS ONEClickbait headlines, designed to entice readers with sensationalized or misleading content, pose significant challenges in the digital landscape. They exploit curiosity to generate traffic and revenue, often at the cost of spreading misinformation and ...
Talya Natanya, Chaya Liebeskind
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Manipulative Means in Clickbait Headlines of Online Media [PDF]
Актуальные проблемы филологии и педагогической лингвистики, 2023 The paper deals with manipulative means in clickbait headlines of online media. The aim of the article is to distinguish and examine the used in implicit clickbaits manipulative means which help to cultivate the reader’s interest and make them pass to ...
Olga V. Loutovinova
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Teaching earth science students to recognize communicative intent in media headlines: clickbait phenomenon [PDF]
E3S Web of Conferences, 2022 This paper examines ways of teaching Earth science students techniques to recognize manipulative clickbait in the online versions of American newspapers.
Privalova Yulia +4 more
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Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection
IEEE Access, 2022 When people use social networks, they often fall prey to a clickbait scam. The scammer attempts to create a striking headline that attracts the majority of users and attaches a link.
Abdul Razaque +7 more
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Clickbait Post Detection using NLP for Sustainable Content [PDF]
E3S Web of Conferences, 2023 Clickbait is a significant problem on online media platforms. It misleads users and manipulates their engagement. A user who clicks on a clickbait link may be taken to a website full of ads, or that requires them to pay for something.
Ganapati Raju N.V. +5 more
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