Based on one million arXiv papers submitted from May 2018 to January 2024, we
assess the textual density of ChatGPT's writing style in their abstracts by
means of a statistical analysis of word frequency changes. Our model is
calibrated and validated on a mixture of real abstracts and ChatGPT-modified
abstracts (simulated data) after a careful noise analysis. We find that ChatGPT
is having an increasing impact on arXiv abstracts, especially in the field of
computer science, where the fraction of ChatGPT-revised abstracts is estimated
to be approximately 35%, if we take the output of one of the simplest prompts,
"revise the following sentences", as a baseline. We conclude with an analysis
of both positive and negative aspects of the penetration of ChatGPT into
academics' writing style.

通过对从 2018 年 5 月到 2024 年 1 月提交的 100 万篇 arXiv 论文进行统计分析，我们评估了 ChatGPT 在其摘要中的文本密度，通过词频变化的统计分析。我们的模型在真实摘要和 ChatGPT 修改后的摘要（模拟数据）的混合数据上进行校准和验证，经过仔细的噪声分析。我们发现，ChatGPT 对 arXiv 摘要的影响正在增加，特别是在计算机科学领域，ChatGPT 修改的摘要比例估计约为 35%，如果我们以 “修改以下句子” 作为基准。最后，我们分析了 ChatGPT 对学术写作风格渗透的积极和消极方面。