arXiv Computation and Language By Yujun Wang, Ehud Reiter, Shimei Pan, Steffen Eger, Wei Zhao

Beyond Accuracy: Community Perspectives on Machine Translation

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The paper examines how four stakeholder groups—AI developers, professional translators, language learners, and language service providers—discuss machine translation on social media. Using a dataset of 79,286 posts from Reddit, Facebook, Bluesky, and Mastodon (2019‑2025), the authors find frequent disagreements and strong conflicts over translation quality, efficiency, and reliability. These conflicts arise because AI communities view the issues as technical, while non‑AI users prioritize quality nuances, time savings, trust, and broader social concerns.

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