[论文解读] Reactive Writers: How Co-Writing with AI Changes How We Engage with Ideas

Advait Bhat, Marianne Aubin Le Quéré+2 more|arXiv (Cornell University)|Mar 11, 2026

Artificial Intelligence in Healthcare and Education被引用 0

一句话总结

论文研究内嵌的、带有观点性的AI写作助手如何重塑作者的构思与最终表达的思想，揭示一种被动的写作模式以及AI建议对内容的可测量影响。

ABSTRACT

Emerging experimental evidence shows that writing with AI assistance can change both the views people express in writing and the opinions they hold afterwards. Yet, we lack substantive understanding of procedural and behavioral changes in co-writing with AI that underlie the observed opinion-shaping power of AI writing tools. We conducted a mixed-methods study, combining retrospective interviews with 19 participants about their AI co-writing experience with a quantitative analysis tracing engagement with ideas and opinions in 1{,}291 AI co-writing sessions. Our analysis shows that engaging with the AI's suggestions -- reading them and deciding whether to accept them -- becomes a central activity in the writing process, taking away from more traditional processes of ideation and language generation. As writers often do not complete their own ideation before engaging with suggestions, the suggested ideas and opinions seeded directions that writers then elaborated on. At the same time, writers did not notice the AI's influence and felt in full control of their writing, as they -- in principle -- could always edit the final text. We term this shift extit{Reactive Writing}: an evaluation-first, suggestion-led writing practice that departs substantially from conventional composing in the presence of AI assistance and is highly vulnerable to AI-induced biases and opinion shifts.

研究动机与目标

• 了解内嵌的带观点的AI写作助手如何重塑构思与创作过程。
• 探索与AI共同写作如何影响作者在最终文本中表达的思想。
• 描述伴随AI辅助写作的过程变革与参与模式。

提出的方法

• 采用混合方法设计，结合对19名参与者的回顾性线索式访谈与1,291次AI共写会话的定量分析。
• 在类似Reddit的平台内嵌一个基于GPT-3的带观点的写作助手，收集互动日志与主观报告。
• 对访谈记录进行主题分析，并使用基于主题的流程将AI建议映射到最终文本。
• 分析日志以建模AI建议与最终文本主题频次之间的关系。
• 通过GPT-3.5-turbo进行主题发现与聚类，随后用GPT-4o对写作 bursts进行主题分配。

Figure 1. Screenshot of the experimental writing platform showing AI suggestions.

实验结果

研究问题

• RQ1 RQ1：内嵌的带观点AI写作助手如何重塑作者的构思与创作过程？
• RQ2 RQ2：与AI共同写作如何影响作者最终表达的思想？

主要发现

• 作者从基于记忆的构思转向对AI提供内容的评估，形成一种被动的写作过程。
• 对特定主题的AI建议的曝光强烈预测其在最终论文中的存在，即使在对已接受文本进行控制后亦是如此。
• 作者感到掌控感并且可以编辑最终输出，尽管AI有影响，仍隐含着感知的自主性。
• 该AI工具在议程设定方面具有影响力，微妙地引导了书面内容的主题与表述。
• 定性分析识别出被动性写作的三个阶段：注意力被捕获、基于同意的纳入以及事后个性化。
• 研究指出大型语言模型在塑造写作内容及随之而来的观点方面的风险。

Figure 2. Simplified overview of the topic classification pipeline. Step 1 ( topic discovery ) shows how initial topics were identified from user-written and accepted text using gpt-3.5-turbo , with each topic receiving a description to enable clustering. Step 2 ( topic assignment ) shows how text w