(Dis)placed Contributions: Uncovering Hidden Hurdles to Collaborative Writing Involving Non-Native Speakers, Native Speakers, and AI-Powered Editing Tools
Yimin Xiao, Yuewen Chen, Naomi Yamashita, Yuexi Chen, Zhicheng Liu, Ge, Gao

TL;DR
This study investigates the challenges faced by non-native English speakers in collaborative writing, revealing a late-mover disadvantage and how AI tools can unintentionally create collaboration tensions.
Contribution
It uncovers the late-mover disadvantage for NNSs in collaborative writing and examines how AI tools influence perceptions and interactions between native and non-native speakers.
Findings
NNSs' contributions are suppressed when editing after NSs.
AI tools can lead to overestimation of NNSs' proficiency by NSs.
Disentangling contributions in different linguistic aspects is crucial.
Abstract
Content creation today often takes place via collaborative writing. A longstanding interest of CSCW research lies in understanding and promoting the coordination between co-writers. However, little attention has been paid to individuals who write in their non-native language and to co-writer groups involving them. We present a mixed-method study that fills the above gap. Our participants included 32 co-writer groups, each consisting of one native speaker (NS) of English and one non-native speaker (NNS) with limited proficiency. They performed collaborative writing adopting two different workflows: half of the groups began with NNSs taking the first editing turn and half had NNSs act after NSs. Our data revealed a "late-mover disadvantage" exclusively experienced by NNSs: an NNS's ideational contributions to the joint document were suppressed when their editing turn was placed after an…
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Taxonomy
TopicsKnowledge Management and Sharing · Topic Modeling · Innovative Teaching and Learning Methods
