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cloud.google.com·8h ago
AI Research
arXiv CS.AI·Jul 24·5 min read
ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models
TL;DR
ClickGuard is an AI-powered browser extension that detects clickbait articles, providing users with a likelihood score and a concise summary of the content. It achieves a high accuracy with an F1-score of 91% using a hybrid machine learning model.
✦ Why It Matters
Install ClickGuard today to avoid misleading clickbait articles and enhance your online reading experience.
Key Takeaways
- Utilize ClickGuard to identify clickbait articles effectively.
- Leverage the tool's percentage score for informed article selection.
- Review the clickbait spoiler for quick content insights.
- Explore hybrid machine learning techniques for similar applications.
How It Works
ClickGuard employs a hybrid machine learning model that integrates transformer-based embeddings with linguistically motivated features. It calculates a custom 'baitness' score to assess the likelihood of an article being clickbait.
The model, based on XGBoost, processes various natural language processing techniques to deliver accurate predictions.