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Updated: Jan 13, 2026

Deep Neural Networks for Image-Based Dietary Assessment
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ViClickbait-2025: A comprehensive dataset for Vietnamese clickbait detection.

Dai Phuoc Nguyen1,2, Thien Khai Tran3, Y Minh Nguyen2

  • 1Faculty of Information Technology, HUTECH University, Vietnam.

Data in Brief
|October 29, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed ViClickbait-2025, a Vietnamese dataset for automatic clickbait detection. This resource aids in identifying deceptive online headlines, improving content credibility.

Keywords:
Annotation guidelineClickbait datasetHeadline classificationMisinformation analysisNatural language processingViClickbait-2025Vietnamese clickbait

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Area of Science:

  • Natural Language Processing
  • Machine Learning
  • Information Retrieval

Background:

  • Clickbait headlines pose challenges in online information consumption.
  • Developing robust automatic clickbait detection systems is crucial for content credibility.
  • A need exists for specialized datasets in non-English languages, such as Vietnamese.

Purpose of the Study:

  • To introduce ViClickbait-2025, a novel Vietnamese-language dataset for clickbait detection research.
  • To provide a comprehensive resource for training and evaluating machine learning models for clickbait identification.
  • To facilitate advancements in understanding and combating deceptive online content.

Main Methods:

  • Web scraping of 3414 headlines from eight Vietnamese news platforms (2023-2025).
  • Annotation of headlines as clickbait or non-clickbait by three independent reviewers (Cohen's Kappa: 0.822).
  • Data preprocessing including HTML removal, deduplication, normalization, and inclusion of nine key attributes.

Main Results:

  • The ViClickbait-2025 dataset contains 31.2% clickbait headlines across 13 news categories.
  • High inter-annotator agreement (Cohen's Kappa = 0.822) ensures annotation quality.
  • The dataset is available in JSONL and CSV formats under a CC BY 4.0 license.

Conclusions:

  • ViClickbait-2025 is a valuable, high-quality resource for Vietnamese clickbait detection research.
  • The dataset supports the development of more accurate and reliable automatic clickbait detection models.
  • This work contributes to improving the trustworthiness of online news consumption in Vietnam.