Results 21 to 30 of about 458 (165)
Identifying clickbait in online news using deep learning
Bulletin of Electrical Engineering and Informatics, 2023 Several industries use clickbait techniques as their strategy to increase the number of readers for their news. Some news companies implement catchy headlines and images in their news article links, with the expectation that the readers will be interested in reading the news and click the provided link.
Andry Chowanda +2 more
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‘Clickbait’ sebagai ‘Darwinisme Informasi’: Sebuah Uraian Konseptual
Expose, 2023 Naskah ini merupakan literature review yang mengkaji fenomena clickbait, konteks historis kemunculannya, konseptualisasi hingga perangkat analisis yang bisa digunakan untuk mendeteksinya.
Nanang Krisdinanto
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Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 To increase revenue, news websites often resort to using deceptive news titles, luring users into clicking on the title and reading the full news. Clickbait detection is the task that aims to automatically detect this form of false advertisement and avoid wasting the precious time of online users.
Broscoteanu, Daria-Mihaela +1 more
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Headlines and misinformation in the Nigerian newspapers: Evidence from herder-farmer crisis and ENDSARS protests [PDF]
World of Media, 2022 The increase in media proliferation as a result of the emergence of social media as alternative sources of news dissemination and consumption has led to many changes in journalism, such as declining gatekeeping and content scrutiny.
Mustapha Muhammed Jamiu +3 more
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Identification of clickbait news articles using SBERT and correlation matrix
Social Network Analysis and Mining, 2023 Abstract Clickbait refers to the practice of using attention-grabbing or misleading headlines to attract readers to click on particular headlines or pieces of content. This technique often involves exaggerating claims or adding false information to attract traffic. In general, clickbait headlines are less similar to detailed articles associated
null Supriya +2 more
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Factors Affecting Trust in Chinese Digital Journalism: Approach Based on Folk Theories
Media and Communication, 2023 Trust in online digital news has become a significant concern affecting social cohesion in China. Under the framework of folk theories, we interviewed urban and rural residents’ perceptions and imaginations of digital news credibility in China’s digital ...
Shaoqiang Liu +3 more
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Penggunaan Clickbait Headline pada Situs Berita dan Gaya Hidup Muslim dream.co.id
MediaTor, 2018 The rapid flows of information in the digital age makes online site producers create news that attracted the attention of netizen not only on their main sites but also for social media platforms. The goal is to get a Key Performance Indicator (KPI) which
M Rizky Kertanegara
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Communication & Society (Formerly Comunicación y Sociedad), 2023 This study explores the specific characteristics of science news stories posted on social media platforms during the first phase of the global pandemic crisis (the first semester of 2020).
Theodora-A. Maniou, Venetia Papa
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Context-Aware Deep Markov Random Fields for Fake News Detection
IEEE Access, 2021 Fake news is a serious problem, which has received considerable attention from both industry and academic communities. Over the past years, many fake news detection approaches have been introduced, and most of the existing methods rely on either news ...
Tien Huu Do +4 more
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Clickbait in Hindi News Media : A Preliminary Study
, 2020 A corpus of Hindi news headlines shared on Twitter was created by collecting tweets of 5 mainstream Hindi news sources for a period of 4 months. 7 independent annotators were recruited to mark the 20 most retweeted news posts by each of the 5 news sources on its clickbait nature. The clickbait score hence generated was assessed for its correlation with
Kaushal, Vivek, Vemuri, Kavita
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