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Know Better – A Clickbait Resolving Challenge
Proceedings of the Language Resources and Evaluation Conference, 2022 In this paper, we present a new corpus of clickbait articles annotated by university students along with a corresponding shared task: clickbait articles use a headline or teaser that hides information from the reader to make them curious to open the ...
Benjamin Hättasch, Carsten Binnig
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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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Investigating clickbait in Chinese social media: A study of WeChat [PDF]
Online Social Networks and Media, 2020 Clickbait, the intentional use of exaggerated and misleading content to entice people to click on a link to a particular web page, is a phenomenon that has grown rapidly in recent years. Clickbait has become problematic in the post-truth era as it can de-
Zhang, C., Clough, P.D.
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Does Clickbait Actually Attract More Clicks? Three Clickbait Studies You Must Read
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021Studies show that users do not reliably click more often on headlines classified as clickbait by automated classifiers. Is this because the linguistic criteria (e.g., use of lists or questions) emphasized by the classifiers are not psychologically relevant in attracting interest, or because their classifications are confounded by other unknown factors ...
Maria D. Molina +5 more
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2021
The reliance by news publishers on clickbait-style content and what we might call “banal” news raises a number of important ethical issues. From stories about lost animals on local citizen journalism websites to news about celebrities and shopping in the mainstream press, there is an increasing presence of the everyday in the news, which is put to use ...
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The reliance by news publishers on clickbait-style content and what we might call “banal” news raises a number of important ethical issues. From stories about lost animals on local citizen journalism websites to news about celebrities and shopping in the mainstream press, there is an increasing presence of the everyday in the news, which is put to use ...
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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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2022
Abstract This chapter provides an in-depth look at the economics of entertainment journalism and how coverage of political controversy in pop culture aligns with the broader profit-making strategies of digital media companies and demands for online clicks and social media shares.
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Abstract This chapter provides an in-depth look at the economics of entertainment journalism and how coverage of political controversy in pop culture aligns with the broader profit-making strategies of digital media companies and demands for online clicks and social media shares.
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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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Cyberpsychology, Behavior, and Social Networking
This study delves into the influence of clickbait types (hyperbole, insinuation, visual rhetoric, and puzzle) and structures (emotion-label and emotion-laden words) on user cognitive and emotional responses in an online environment. Using electroencephalography with 32 internet-experienced participants, we analyzed how these different clickbait ...
Yikai Wang +3 more
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This study delves into the influence of clickbait types (hyperbole, insinuation, visual rhetoric, and puzzle) and structures (emotion-label and emotion-laden words) on user cognitive and emotional responses in an online environment. Using electroencephalography with 32 internet-experienced participants, we analyzed how these different clickbait ...
Yikai Wang +3 more
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