Results 21 to 30 of about 579 (159)
BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset
8 pages, 3 figures, 5 tables, published in Recent Advances in Natural Language Processing ...
Mahtab, Md. Motahar +3 more
openaire +2 more sources
Accepted at SIGIR 2018 as Short ...
Kumar, Vaibhav +4 more
openaire +2 more sources
The Rise of Clickbait Headlines: A Study on Media Platforms from Bangladesh [PDF]
The purpose of the study is to find out the actual numbers or ratio of clickbait headlines used by specific Bangladeshi media, the reason behind the rise of clickbait headlines in the era of social media, and to disclose the perception of media personnel
Abdur Rahman, Abdullah Al Mamun
doaj +1 more source
La praxis del «clickbait» y de The Trust Project: riesgos y retos en los diarios digitales españoles
Este artículo analiza el clickbait como técnica y estrategia viral extraperiodística de medios digitales que busca atraer a los lectores de noticias. Se indaga en los efectos que produce y se identifican los recursos estilísticos de esta técnica que más
Jesus Miguel Flores-Vivar +1 more
doaj +1 more source
Clickbait detection using multiple categorisation techniques [PDF]
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
Clickbait no jornalismo desportivo: a caça ao clique em três sites portugueses
Os títulos jornalísticos são elementos informativos curtos, mas complexos, fundamentais para captar a atenção do público. No contexto digital e de um jornalismo em crise, a tentativa de enganar o público para gerar cliques a partir de títulos ...
Pedro Moura, Fábio Ribeiro
doaj +3 more sources
Le clickbait au service de la manipulation
Clickbait at the Service of Manipulation ABSTRACT: This study is part of the analysis of digital discourse. It proposes to analyze the manipulative discursive strategies at the level of clickbait titles treated in the sphere of social networks and in
Imene BALTACHE, Hadjira MEDANE
doaj
Clickbait Convolutional Neural Network [PDF]
With the development of online advertisements, clickbait spread wider and wider. Clickbait dissatisfies users because the article content does not match their expectation. Thus, clickbait detection has attracted more and more attention recently. Traditional clickbait-detection methods rely on heavy feature engineering and fail to distinguish clickbait ...
Hai-Tao Zheng +5 more
openaire +1 more source
Advances in Clickbait and Fake News Detection Using New Language-independent Strategies
Online publishers rely on different techniques to trap web visitors, clickbait being one such technique. Besides being a bad habit, clickbait is also a strong indicator for fake news spreading.
Claudia Ioana Coste, Darius Bufnea
doaj +1 more source
BERT, XLNet or RoBERTa: The Best Transfer Learning Model to Detect Clickbaits
Clickbait can be a spam or an advert which more often provides a link to commercial website and it can also be a headline to news media website which makes money from page views by providing eye-catchy headlines with deceptive news. This paper focuses on
Praboda Rajapaksha +2 more
doaj +1 more source

