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LLM adoption linked to surge in fake academic references

A recent study indicates that the widespread adoption of large language models (LLMs) has led to a significant increase in fabricated references within academic writing. These citation errors are particularly common in fields with high AI uptake, in papers showing signs of AI-assisted authorship, and among less experienced researchers. Furthermore, these hallucinations tend to disproportionately credit established and male scholars, potentially exacerbating existing biases in academic recognition. AI

影响 LLM use in academic writing may introduce bias and reduce citation integrity, impacting research credibility.

排序理由 The cluster contains an academic paper detailing research findings on the impact of LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

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LLM adoption linked to surge in fake academic references

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  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Update. "We find a sharp rise in non-existent references following widespread LLM adoption… These errors are…especially pronounced in fields with rapid AI uptak

    Update. "We find a sharp rise in non-existent references following widespread LLM adoption… These errors are…especially pronounced in fields with rapid AI uptake, in manuscripts with linguistic signatures of AI-assisted writing, and among small and early-career author teams. At t…