Results 21 to 30 of about 2,271 (200)
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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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)
Abhijnan Chakraborty +3 more
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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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Webis Clickbait Spoiling Corpus 2022
, 2022 # Webis Clickbait Spoiling Corpus 2022 The Webis Clickbait Spoiling Corpus 2022 (Webis-Clickbait-22) contains 5,000 spoiled clickbait posts crawled from Facebook, Reddit, and Twitter. This corpus supports the task of clickbait spoiling, which deals with
Maik Fröbe +3 more
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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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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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Clickbait Detection in YouTube Videos
CoRR, 2021 YouTube videos often include captivating descriptions and intriguing thumbnails designed to increase the number of views, and thereby increase the revenue for the person who posted the video. This creates an incentive for people to post clickbait videos, in which the content might deviate significantly from the title, description, or thumbnail.
Ruchira Gothankar +2 more
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