Results 31 to 40 of about 1,638 (207)
Clickbait Detection in Indonesia Headline News Using IndoBERT and RoBERTa
Jurnal Riset Informatika, 2023 This paper explores clickbait detection using Transformer models, specifically IndoBERT and RoBERTa. The objective is to leverage the models specifically for clickbait detection accuracy by employing balancing and augmentation techniques on the dataset ...
Muhammad Edo Syahputra +2 more
doaj +1 more source
Operationalization of clickbait features.
, 2022 Operationalization of clickbait features.
Milad Mirbabaie (9073114) +4 more
core +1 more source
The Rise of Clickbait Headlines: A Study on Media Platforms from Bangladesh [PDF]
Athens Journal of Mass Media and CommunicationsThe 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
Anàlisi: Quaderns de Comunicació i Cultura, 2022 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 no jornalismo desportivo: a caça ao clique em três sites portugueses
Cuadernos.info, 2021 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
Characterizing Clickbaits on Instagram
Proceedings of the International AAAI Conference on Web and Social Media, 2018 Clickbaits are routinely utilized by online publishers to attract the attention of people in competitive media markets. Clickbaits are increasingly used in visual-centric social media but remain a largely unexplored problem. Existing defense mechanisms rely on text-based features and are thus inapplicable to visual social media.
Yu-I Ha +4 more
openaire +2 more sources
The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength
CoRR, 2018 Clickbait has grown to become a nuisance to social media users and social media operators alike. Malicious content publishers misuse social media to manipulate as many users as possible to visit their websites using clickbait messages. Machine learning technology may help to handle this problem, giving rise to automatic clickbait detection.
Martin Potthast +3 more
openaire +2 more sources
PENERAPAN CLICKBAIT PADA HEADLINE SITUS BERITA FIXPEKANBARU.COM [PDF]
, 2022 ABSTRAK Nama : Desi Saputri NIM : 11643201420 Judul : Penerapan Clickbait pada Headline Situs Berita Fixpekanbaru.com Banyaknya media-media pemberitaan online baru yang bermunculan membuat persaingan dalam industri pemberitaan online semakin ketat ...
DESI SAPUTRI, -
core
Blockchain-enabled Deep Recurrent Neural Network Model for Clickbait Detection
, 2021 When people use social networks, they often fall prey to a clickbait scam. The scammer attempts to create a striking headline that attracts the majority of users and attaches a link.
Amsaad, F. +7 more
core +2 more sources
Webis Clickbait Corpus 2016 (Webis-Clickbait-16)
, 2016 <p>The Webis Clickbait Corpus 2016 (Webis-Clickbait-16) comprises 2992 Twitter tweets sampled from top 20 news publishers as per retweets in 2014.
Stein, Benno (5169011) +7 more
core +1 more source