Results 81 to 90 of about 579 (159)
Clickbait Identification using Neural Networks
This paper presents the results of our participation in the Clickbait Detection Challenge 2017. The system relies on a fusion of neural networks, incorporating different types of available informations. It does not require any linguistic preprocessing, and hence generalizes more easily to new domains and languages.
openaire +2 more sources
Banyak judul berita di internet menggunakan teknik clickbait untuk membuat judul yang menarik tetapi seringkali tidak relevan dengan isi berita, yang menantang pengelola media dan pembaca saat ini. Menggunakan algoritma K-Medoids, penelitian ini bertujuan untuk membangun sistem berbasis web yang akan mengelompokkan judul berita dari Radar Cirebon ...
Fathul Ramdhani +2 more
openaire +1 more source
A review on fake news detection 3T's: typology, time of detection, taxonomies. [PDF]
Rastogi S, Bansal D.
europepmc +1 more source
Attract readers with a graphical abstract - The latest clickbait. [PDF]
Jeyaraman M, Vaishya R.
europepmc +1 more source
Did clickbait crack the code on virality? [PDF]
Mukherjee P, Dutta S, De Bruyn A.
europepmc +1 more source
Clickbait y polarización como estrategias de gancho informativo en la cobertura electoral
Propósito. Esta investigación analiza la relación entre el clickbait y la polarización política en la cobertura de las Elecciones Generales españolas de 2023 en tres de los medios digitales más leídos con líneas editoriales dispares: El País, elDiario ...
Marta Redondo-García +3 more
doaj
Obesity-Related Discourse on Facebook and Instagram Throughout the COVID-19 Pandemic: Comparative Longitudinal Evaluation. [PDF]
Pollack C +5 more
europepmc +1 more source
Effect of visual imagery in COVID-19 social media posts on users' perception. [PDF]
Al-Nuwaiser WM.
europepmc +1 more source
Clickbait detection in news headlines using RoBERTa-Large language model and deep embeddings. [PDF]
Alarfaj FK, Muqadas A, Khan HU, Naz A.
europepmc +1 more source

