Results 11 to 20 of about 458 (165)
Applied Sciences, 2021 The widespread usage of social media has led to the increasing popularity of online advertisements, which have been accompanied by a disturbing spread of clickbait headlines.
Mohammed Al-Sarem +8 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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Clickbait as a Potential Threat in the Development of Cybercrime in Indonesia
Jurnal USM Law Review, 2023 This research examines the advancement and extensive diffusion of online news in Indonesia which contains discrepancies between the titles displayed and the content displayed (clickbait), where the content has the potential to contain backlinks that can
Victoria Vanessa, Aji Lukman Ibrahim
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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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Stop Clickbait: Detecting and preventing clickbaits in online news media [PDF]
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Chakraborty, Abhijnan +3 more
openaire +2 more sources
Impact of YouTube User-Generated Content on News Dissemination and Youth Information Reception. [PDF]
Health ExpectABSTRACT Background User‐generated content (UGC) on YouTube has reshaped news dissemination, fostered engagement, raised concerns about credibility, algorithmic influence and the spread of misinformation. This study addresses the gap in understanding how UGC engagement, trust and algorithmic awareness influence digital news consumption.
Chunqiong W +3 more
europepmc +2 more sources
CLICK-ID: A novel dataset for Indonesian clickbait headlines
Data in Brief, 2020 News analysis is a popular task in Natural Language Processing (NLP). In particular, the problem of clickbait in news analysis has gained attention in recent years [1, 2].
Andika William, Yunita Sari
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BERT, XLNet or RoBERTa: The Best Transfer Learning Model to Detect Clickbaits
IEEE Access, 2021 Clickbait can be a spam or an advert which more often provides a link to commercial website and it can also be a headline to news media website which makes money from page views by providing eye-catchy headlines with deceptive news. This paper focuses on
Praboda Rajapaksha +2 more
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Journal of Quantitative Description: Digital Media, 2022 In this study, we analyze for the first time newly available engagement data covering millions of web links shared on Facebook to describe how and by which categories of U.S. users different types of news are seen and shared on the platform. We focus on
Andy Guess +4 more
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Clickbait and translation: Proposing a typology of online news headline transcreation strategies
Studies in English Language and Education, 2023 Clickbait has been widely studied within the online news headline context; however, it is still understudied under the umbrella of transcreation. By employing the theory of transcreation by Gaballo (2012) and news headline tabloidization/clickbaiting ...
Lilik Untari +3 more
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