CHI 写作如何改变？分析大型语言模型引入前后44年的CHI写作
How Did Writing Change At CHI? Analyzing 44 Years of CHI Writing Before and After the Introduction of Large Language Models
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中文总结 AI 辅助
本研究分析1982至2026年CHI会议14,262篇论文，发现LLMs未使写作同质化，但自2022年起加速了词汇多样性和密度增加、可读性下降的趋势。
中文摘要 AI 辅助
大型语言模型（LLMs）的可获得性在语言学层面重塑了科学话语。LLMs被认为会使学术写作同质化，将其扁平化为一种单一的通用词汇语域。为了理解自LLMs公开发布以来CHI写作发生了怎样的变化，我们分析了1982年至2026年间全部44届CHI会议录中14,262篇档案论文的全文，测量了可读性、语域、词汇多样性和LLMs典型生成的特征词。我们发现散文并未同质化，而词汇变得更加多样化，句子节奏保持不规则。CHI散文在2016年至2026年间比其他十年变化更大，趋向更高的密度，且自2022年以来阅读轻松度有所下降。词汇层面的转变始于任何作者使用LLMs之前，因此LLMs并未开启这一变化，而是加速了它。反思CHI论文的历史，我们讨论了可能导致散文变化的原因以及LLMs如何加速了这些变化。
英文摘要
The availability of Large Language Models (LLMs) reshaped scientific discourse at a linguistic level. LLMs are assumed to homogenize academic writing, flattening it into a single generic lexical register. To understand how CHI writing has changed since the public release of LLMs, we analyzed full texts of 14,262 archival papers across all 44 CHI proceedings from 1982 to 2026, measuring readability, register, lexical diversity, and marker words typically produced by LLMs. We find that prose did not homogenize, while vocabulary grew more varied, and sentence rhythm remained irregular. CHI prose changed more between 2016 and 2026 than in other decades toward greater density, and reading ease has declined since 2022. The word-level shift began before any author used LLMs, so LLMs did not start the change but accelerated it. Reflecting on the history of CHI papers, we discuss what may have caused changes in prose and how LLMs accelerated them.
发表机构
- HU Berlin（柏林洪堡大学）
- Aalto University（阿尔托大学）
- LMU Munich（慕尼黑大学）
机构由 AI 辅助整理，请以论文原文为准。
