AI Research

    ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models

    This paper presents an AI-driven browser extension that identifies clickbait to help users avoid misleading Internet articles. Moving beyond traditional detection, the application employs a hybrid machine learning architecture that combines transformer-based embeddings with lingu...

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    ArXiv CS.AI

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    ArXiv CS.AI
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    This research addresses the pervasive problem of online misinformation by leveraging advanced AI to identify and flag clickbait content. By combining linguistic analysis with LLM-based embeddings, the system offers users both warnings and concise summaries, empowering them to make more informed decisions about the content they consume.

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