Results 11 to 20 of about 387 (173)
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 +2 more sources
Clickbait Post Detection using NLP for Sustainable Content [PDF]
E3S Web of Conferences, 2023 Clickbait is a significant problem on online media platforms. It misleads users and manipulates their engagement. A user who clicks on a clickbait link may be taken to a website full of ads, or that requires them to pay for something.
Ganapati Raju N.V. +5 more
doaj +2 more sources
BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset
Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Processings, 2023 8 pages, 3 figures, 5 tables, published in Recent Advances in Natural Language Processing ...
Md. Motahar Mahtab +3 more
openaire +4 more sources
Advances in Clickbait and Fake News Detection Using New Language-independent Strategies
Journal of Communications Software and Systems, 2021 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 +3 more sources
An Improved Multiple Features and Machine Learning-Based Approach for Detecting Clickbait News on Social Networks [PDF]
Applied Sciences, 2021 The widespread usage of social media has led to the increasing popularity of online advertisements, which have been accompanied by a disturbing spread of clickbait headlines.
Mohammed Al-Sarem +8 more
doaj +2 more sources
Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 To increase revenue, news websites often resort to using deceptive news titles, luring users into clicking on the title and reading the full news. Clickbait detection is the task that aims to automatically detect this form of false advertisement and avoid wasting the precious time of online users.
Daria-Mihaela Broscoteanu +1 more
openaire +3 more sources
Similarity-Aware Deep Attentive Model for Clickbait Detection [PDF]
, 2019 Clickbait is a type of web content advertisements designed to entice readers into clicking accompanying links. Usually, such links will lead to articles that are either misleading or non-informative, making the detection of clickbait essential for our daily lives. Automated clickbait detection is a relatively new research topic.
Manqing Dong +4 more
openaire +2 more sources
Clickbait Detection Using Deep Recurrent Neural Network
Applied Sciences, 2022 People who use social networks often fall prey to clickbait, which is commonly exploited by scammers. The scammer attempts to create a striking headline that attracts the majority of users to click an attached link.
Abdul Razaque +5 more
doaj +2 more sources
Clickbait detection: A literature review of the methods used [PDF]
Register: Jurnal Ilmiah Teknologi Sistem Informasi, 2019 Online news portals are currently one of the fastest sources of information used by people. Its impact is due to the credibility of the news produced by actors from the media industry, which is sometimes questioned. However, one of the problems associated with this medium used to obtain information is clickbait.
Nurrida Aini Zuhroh, Nur Aini Rakhmawati
openaire +3 more sources
Prompt-Tuning for Clickbait Detection via Text Summarization
Clickbaits are surprising social posts or deceptive news headlines that attempt to lure users for more clicks, which have posted at unprecedented rates for more profit or commercial revenue. The spread of clickbait has significant negative impacts on the users, which brings users misleading or even click-jacking attacks.
Haoxiang Deng +6 more
openaire +3 more sources