ViClickbait-2025: A comprehensive dataset for Vietnamese clickbait detectionMendeley Data [PDF]
Data in BriefViClickbait-2025 is a curated Vietnamese-language dataset developed to facilitate research on automatic clickbait detection. It comprises 3414 headline samples collected through web scraping from eight major Vietnamese online news platforms between 2023 ...
Dai Phuoc Nguyen +3 more
doaj +5 more sources
Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection
IEEE Access, 2022 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.
Abdul Razaque +7 more
doaj +3 more sources
CLICK-ID: A novel dataset for Indonesian clickbait headlines [PDF]
Data in Brief, 2020 News analysis is a popular task in Natural Language Processing (NLP). In particular, the problem of clickbait in news analysis has gained attention in recent years [1, 2].
Andika William, Yunita Sari
doaj +2 more sources
BaitBuster-Bangla: A comprehensive dataset for clickbait detection in Bangla with multi-feature and multi-modal analysis [PDF]
Data in BriefThis study presents a large multi-modal Bangla YouTube clickbait dataset consisting of 253,070 data points collected through an automated process using the YouTube API and Python web automation frameworks.
Abdullah Al Imran +2 more
doaj +2 more sources
IEEE Open Journal of the Computer Society, 2022 Clickbait is a commonly used social engineering technique to carry out phishing attacks, illegitimate marketing, and dissemination of disinformation.
Feng Wei, Uyen Trang Nguyen
doaj +3 more sources
Deep learning and sentence embeddings for detection of clickbait news from online content [PDF]
Scientific ReportsWith the rise of user-generated content, ensuring the authenticity and originality of online information has become increasingly challenging. Artificial intelligence (AI) and Natural Language Processing (NLP) play a crucial role in large-scale content ...
Amara Muqadas +5 more
doaj +2 more sources
Towards better Hebrew clickbait detection: Insights from BERT and data augmentation. [PDF]
PLoS ONEClickbait headlines, designed to entice readers with sensationalized or misleading content, pose significant challenges in the digital landscape. They exploit curiosity to generate traffic and revenue, often at the cost of spreading misinformation and ...
Talya Natanya, Chaya Liebeskind
doaj +2 more sources
Clickbait detection in news headlines using RoBERTa-Large language model and deep embeddings [PDF]
Scientific ReportsThe integration of Large Language Models with Artificial Intelligence is transforming digital news analysis, particularly through progressions in natural language processing.
Fawaz Khaled Alarfaj +3 more
doaj +2 more sources
Automatic Detection of Clickbait Headlines Using Semantic Analysis and Machine Learning Techniques
Applied Sciences, 2023 Clickbait headlines are misleading headiness designed to attract attention and entice users to click on the link. Links can host malware, trojans and phishing attacks. Clickbaiting is one of the more subtle methods used by hackers and scammers. For these
Mark Bronakowski +2 more
doaj +3 more sources
Leverage knowledge graph and GCN for fine-grained-level clickbait detection [PDF]
World Wide Web, 2022 Wenping Zhang, Qiqi Jiang
exaly +2 more sources