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Clickbait Detection in YouTube Videos [PDF]
, 2022 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,
Gothankar, Ruchira
openaire +3 more sources
Exploring Linguistic Strategies in Romanian Clickbait Headlines: Communication Tactics in Online Media [PDF]
Scientific Bulletin of the Politehnica University of Timişoara: Transactions on Modern LanguagesThis study investigates the communication tactics embedded in clickbait headlines found in Romanian online media, by linguistically analysing a corpus of 80 headlines sourced from the Libertatea newspaper.
Marcela Alina FĂRCAȘIU +1 more
doaj +1 more source
Education SciencesCritical thinking is essential when navigating, evaluating, and interacting with media; therefore, it is important to investigate if adults’ critical thinking skills can be trained.
Ana Vlah +4 more
doaj +2 more sources
A unified approach for detection of Clickbait videos on YouTube using cognitive evidences [PDF]
Applied Intelligence, 2021 Deepika Varshney +2 more
exaly +2 more sources
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
openaire +2 more sources
Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference [PDF]
, 2023 Clickbait posts tend to spread inaccurate or misleading information to manipulate people's attention and emotions, which greatly harms the credibility of social media. Existing clickbait detection models rely on analyzing the objective semantics in posts
Shi, Chongyang +6 more
core +1 more source
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
openaire +2 more sources
Clickbait detection using multiple categorisation techniques [PDF]
Journal of Information Science, 2019 Clickbaits are online articles with deliberately designed misleading titles for luring more and more readers to open the intended web page. Clickbaits are used to tempt visitors to click on a particular link either to monetise the landing page or to spread the false news for sensationalisation.
Abinash Pujahari, Dilip Singh Sisodia
openaire +2 more sources
MALICIOUS WEB LINKS DETECTION - A COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS
Studia Universitatis Babes-Bolyai: Series Informatica, 2023 One of the most challenging categories of threats circulating in the online world is social engineering, with malicious web links, fake news, clickbait, and other tactics.
Claudia-Ioana COSTE
doaj +1 more source
, 2023 This dataset is a multi-feature and multi-modal dataset for Bangla clickbait detection in video sharing platforms. The dataset is collected from YouTube using its official public API with the objective of classifying clickbait content in the Bangla ...
Imran, A (via Mendeley Data)
core +3 more sources