Reactive Writers: How Co-Writing with AI Changes How We Engage with Ideas
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Abstract (arXiv)
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 textitReactive 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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 30 of its 142 references that are in the map. First posted on arXiv 11 Mar 2026.
Builds on
30 of 142 references.
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18 more
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Built on by
Citing papers per year: 2026: 4.
4 papers.
- 2026Measuring and Mitigating Persona Distortions from AI Writing Assistancecited by 1
- 2026Beyond the Org Chart: AI and the Transformation of Invisible Workcited by 0
- 2026Does AI Assistance Leave a Temporal Fingerprint? Detecting Overreliance in AI-Assisted Writing and Programmingcited by 0
- 2026Narrowing the Horizon: Quantifying Topic Saliency Shifts in Generative Monoculturecited by 0
- 2026Narrowing the Horizon: Quantifying Topic Saliency Shifts in Generative Monoculture28 Sep 2026
- 2026Does AI Assistance Leave a Temporal Fingerprint? Detecting Overreliance in AI-Assisted Writing and Programming15 Sep 2026
- 2026Beyond the Org Chart: AI and the Transformation of Invisible Work21 May 2026
- 2026Measuring and Mitigating Persona Distortions from AI Writing Assistance24 Apr 2026