Results 11 to 20 of about 579 (159)
Automatic Detection of Clickbait Headlines Using Semantic Analysis and Machine Learning Techniques
Applied Sciences, 2023 Clickbait headlines are misleading headiness designed to attract attention and entice users to click on the link. Links can host malware, trojans and phishing attacks. Clickbaiting is one of the more subtle methods used by hackers and scammers. For these
Mark Bronakowski +2 more
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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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Klasifikasi Berita Clickbait Menggunakan K-Nearest Neighbor (KNN)
JOINS (Journal of Information System), 2020 Clickbait menjadi salah satu cara untuk mencari uang dengan meningkatkan traffic pengunjung dan pengunjung. Praktik clickbait pada saat ini sudah merambah pada dunia jurnalistik sedangkan sistem berita media online berbeda dengan media cetak. Sama halnya
Riska Sagita, Ultach Enri, Aji Primajaya
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IEEE Open Journal of the Computer Society, 2022 Clickbait is a commonly used social engineering technique to carry out phishing attacks, illegitimate marketing, and dissemination of disinformation.
Feng Wei, Uyen Trang Nguyen
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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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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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The Language Means of Comicality in Clickbait Headings
Вестник Волгоградского государственного университета: Серия 2. Языкознание, 2021 The analysis of material presented in the media discourse demonstrates significant changes in the intentionality of the journalistic text, which are reflected in establishing contacts so as to grab and retain the reader's attention. This feature
Natalia Prokofeva, Irina Akulovich
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Du sensationnalisme à la tromperie : les tactiques de manipulation par l'image dans le clickbait [PDF]
Akofena, 2023 Résumé : Notre étude est axée sur la manipulation par l’image à l’ère du numérique. Le clickbait est un phénomène moderne et universel présent sur les réseaux sociaux et notamment sur Facebook. Il nous appelle, nous interpelle et nous invite sans cesse à
Imene BALTACHE & Hadjira MEDANE
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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
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Clickbait Detection in Indonesia Headline News Using IndoBERT and RoBERTa
Jurnal Riset Informatika, 2023 This paper explores clickbait detection using Transformer models, specifically IndoBERT and RoBERTa. The objective is to leverage the models specifically for clickbait detection accuracy by employing balancing and augmentation techniques on the dataset ...
Muhammad Edo Syahputra +2 more
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