Results 91 to 100 of about 387 (173)

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 ...
Marija Andelic, Dominik Sipek, Laura Majer, Jan Snajder   +3 more
openaire   +2 more sources

Exploiting LMs for clickbait detection in online news recommendation [PDF]

LAUREA MAGISTRALECon la crescente diffusione del consumo di notizie online, una efficace racommandazione delle notizie diventa sempre più essenziale, bilanciando gli interessi degli utenti con questioni etiche. Tuttavia, la raccomandazione di notizie è
Maggese, Saverio
core  

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, Masaryk R, Synak N, Čavojová V.   +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.
europepmc   +1 more source

Disinformation: analysis and identification. [PDF]

Comput Math Organ Theory, 2021
Pathak A, Srihari RK, Natu N.
europepmc   +1 more source

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.
europepmc   +1 more source

Fake news, disinformation and misinformation in social media: a review. [PDF]

Soc Netw Anal Min, 2023
Aïmeur E, Amri S, Brassard G.
europepmc   +1 more source

Interrupted time series analysis of clickbait on worldwide news websites, 2016-2023

Clickbait is deceptive text that can manipulate web browsing, creating an information gap between a link and target page that literally baits a user into clicking. Clickbait detection continues to be well studied, but analyses of clickbait overall on the
McCutcheon, Austin, Brogly, Chris
core  

Online information disorder: fake news, bots and trolls. [PDF]

Int J Data Sci Anal, 2022
Giachanou A, Zhang X, Barrón-Cedeño A, Koltsova O, Rosso P.   +4 more
europepmc   +1 more source

Applying TF-IDF and K-NN for Clickbait Detection in Indonesian Online News Headlines [PDF]

This research explores the application of TF-IDF (Term Frequency-Inverse Document Frequency) and K-Nearest Neighbor (K-NN) in constructing a clickbait detection system for Indonesian online news headlines.
Rosnita, Lidya, Ula, Munirul, Afif, Muhammad Athallah, Rizal, Rizal   +3 more
core