Results 61 to 70 of about 268 (150)
Clickbait Detection in Tweets Using Self-attentive Network
, 2017 Clickbait detection in tweets remains an elusive challenge. In this paper, we describe the solution for the Zingel Clickbait Detector at the Clickbait Challenge 2017, which is capable of evaluating each tweet's level of click baiting. We first reformat the regression problem as a multi-classification problem, based on the annotation scheme.
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Superlatives, clickbaits, appeals to authority, poor grammar, or boldface: Is editorial style related to the credibility of online health messages? [PDF]
Front Psychol, 2022 Greškovičová K +3 more
europepmc +1 more source
Trust, Media Credibility, Social Ties, and the Intention to Share towards Information Verification in an Age of Fake News. [PDF]
Behav Sci (Basel), 2022 Majerczak P, Strzelecki A.
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Fake news, disinformation and misinformation in social media: a review. [PDF]
Soc Netw Anal Min, 2023 Aïmeur E, Amri S, Brassard G.
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Disinformation: analysis and identification. [PDF]
Comput Math Organ Theory, 2021 Pathak A, Srihari RK, Natu N.
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Detection of fake-video uploaders on social media using Naive Bayesian model with social cues. [PDF]
Sci Rep, 2021 Li X, Li S, Li J, Yao J, Xiao X.
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Online information disorder: fake news, bots and trolls. [PDF]
Int J Data Sci Anal, 2022 Giachanou A +4 more
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An open automation system for predatory journal detection. [PDF]
Sci Rep, 2023 Chen LX +4 more
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