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AI writing in papers leads to higher rejection rates, study finds

By PulseAugur Editorial · [1 sources] ·

A recent study indicates that using large language models (LLMs) for academic writing can significantly hinder publication prospects. Manuscripts with over 30% AI-generated content face desk rejection rates nearly 30 percentage points higher than those with less AI usage. Furthermore, papers with very high AI content (70%+) are far less likely to receive revise and resubmit decisions, suggesting editors perceive them as lower quality. This research implies that while LLMs offer individual acceleration, they do not align with the actual incentives for scholarly publishing, potentially leading to negative externalities for authors and the academic community. AI

IMPACT High AI usage in academic papers may lead to lower publication success rates, suggesting a need for careful integration of LLMs in scholarly writing.

RANK_REASON The cluster contains a summary of findings from an academic paper regarding AI use in scholarly publishing. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI writing in papers leads to higher rejection rates, study finds

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The cluster contains a summary of findings from an academic paper regarding AI use in scholarly publishing. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    Using LLMs to help you write papers doesn’t help you get them published HT Nik John for sending me this fascinating paper by the editors of Organisational Scien

    Using LLMs to help you write papers doesn’t help you get them published HT Nik John for sending me this fascinating paper by the editors of Organisational Science. If you’re interested in AI and scholarly publishing, read this paper: https://pubsonline.informs.org/doi/10.1287/ors…

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