分析四类文本发现，2024年超18%消费者投诉由大模型辅助撰写。
The Widespread Adoption of Large Language Model-Assisted Writing Across Society
- 基于海量真实文本，统计各领域大模型辅助写作比例。
- 金融投诉中18%、企业新闻稿24%、联合国文件近14%含大模型内容。
- 小企业和新创公司更依赖大模型，2024年使用率趋于稳定。
本文系统分析了2022年1月至2024年9月间四类文本——消费者投诉、企业公告、职位招聘和联合国新闻稿中的大语言模型（LLM）辅助写作现象。数据涵盖687,241条消费者投诉、537,413份企业新闻稿、3.043亿份职位招聘启事和15,919份联合国新闻稿。通过大规模统计框架发现，自2022年11月ChatGPT发布后，大模型使用量急剧上升。截至2024年底，约18%的金融消费者投诉文本显示为大模型辅助，城市地区略高于农村；企业新闻稿中高达24%内容受大模型影响；职位招聘中，小型企业占比接近10%，新成立企业使用更普遍；联合国新闻稿中近14%内容由大模型生成或修改。尽管初期增长迅猛，但2024年增速趋缓，可能反映使用已趋饱和或模型输出更隐蔽。研究揭示：企业、公众乃至国际组织正日益依赖生成式AI进行沟通。
原文摘要 · Abstract (English)
The recent advances in large language models (LLMs) attracted significant public and policymaker interest in its adoption patterns. In this paper, we systematically analyze LLM-assisted writing across four domains-consumer complaints, corporate communications, job postings, and international organization press releases-from January 2022 to September 2024. Our dataset includes 687,241 consumer complaints, 537,413 corporate press releases, 304.3 million job postings, and 15,919 United Nations (UN) press releases. Using a robust population-level statistical framework, we find that LLM usage surged following the release of ChatGPT in November 2022. By late 2024, roughly 18% of financial consumer complaint text appears to be LLM-assisted, with adoption patterns spread broadly across regions and slightly higher in urban areas. For corporate press releases, up to 24% of the text is attributable to LLMs. In job postings, LLM-assisted writing accounts for just below 10% in small firms, and is even more common among younger firms. UN press releases also reflect this trend, with nearly 14% of content being generated or modified by LLMs. Although adoption climbed rapidly post-ChatGPT, growth appears to have stabilized by 2024, reflecting either saturation in LLM adoption or increasing subtlety of more advanced models. Our study shows the emergence of a new reality in which firms, consumers and even international organizations substantially rely on generative AI for communications.
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