A think-aloud study reveals that AI tools in early research misrepresent uncertainty, obscure provenance, and create fragile trust, leading researchers to develop compensatory strategies to preserve scholarly judgment.
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LLMs fail to recognize most retracted articles from titles and abstracts alone, with over 80% error rate, but have low false positive rates on non-retracted articles.
Reddit data analysis shows reply-based mobile scams growing nearly twice as fast as click-based ones while evading commercial and open-source detectors.
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How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud Study
A think-aloud study reveals that AI tools in early research misrepresent uncertainty, obscure provenance, and create fragile trust, leading researchers to develop compensatory strategies to preserve scholarly judgment.
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Do Large Language Models know Which Published Articles have been Retracted?
LLMs fail to recognize most retracted articles from titles and abstracts alone, with over 80% error rate, but have low false positive rates on non-retracted articles.
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Read This Paper to Get $50 Million:* An Analysis of Mobile Messaging Scams Using Reddit Data
Reddit data analysis shows reply-based mobile scams growing nearly twice as fast as click-based ones while evading commercial and open-source detectors.