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Reactive Writers: How Co-Writing with AI Changes How We Engage with Ideas

arXiv:2603.10374v121.03 citationsh-index: 30
Predicted impact top 14% in HC · last 90 daysOriginality Incremental advance
AI Analysis

This research addresses the problem of AI-induced biases in writing for users of AI-assisted tools, revealing a subtle but impactful change in engagement that could affect opinion formation.

The study investigated how AI co-writing tools alter the writing process, finding that writers spend significant time evaluating AI suggestions instead of generating their own ideas, leading to a shift termed 'Reactive Writing' where AI seeds opinions without writers noticing the influence.

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 \textit{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.

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