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What Makes You CLIC: Detection of Croatian Clickbait Headliness
Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025)Accepted at Slavic NLP ...
Anđelić, Marija +3 more
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Detecting Clickbait: Here’s How to Do It [PDF]
, 2018 Automatic clickbait detection is a relatively novel task in natural language processing (NLP) and machine learning (ML). “Clickbait” is a hyperlink created primarily to attract attention to its target content. This article introduces a binary classifier, the Language and Information Technology Research Lab (LiT.RL, pronounced “literal”) Clickbait ...
Brogly, Christopher, Rubin, Victoria
openaire
A review on fake news detection 3T's: typology, time of detection, taxonomies. [PDF]
Int J Inf Secur, 2023 Rastogi S, Bansal D.
europepmc +1 more source
Click me…! The influence of clickbait on user engagement in social media and the role of digital nudging. [PDF]
PLoS One, 2022 Jung AK +4 more
europepmc +1 more source
Did clickbait crack the code on virality? [PDF]
J Acad Mark Sci, 2022 Mukherjee P, Dutta S, De Bruyn A.
europepmc +1 more source
TA-BiLSTM: An Interpretable Topic-Aware Model for Misleading Information Detection in Mobile Social Networks. [PDF]
Mob Netw Appl, 2021 Chang S, Wang R, Huang H, Luo J.
europepmc +1 more source
A unified approach for detection of Clickbait videos on YouTube using cognitive evidences. [PDF]
Appl Intell (Dordr), 2021 Varshney D, Vishwakarma DK.
europepmc +1 more source
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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