分析小红书内置翻译功能上线后用户反应，发现使用行为超出日常交流场景。
Machine Translation in the Wild: User Reaction to Xiaohongshu's Built-In Translation Feature
- 通过6723条评论做情感与主题分析，研究用户对翻译功能的反馈。
- 用户积极测试非典型文本，如网络用语和符号表达，准确解码获好评。
- 提示需加强技术与设计协作，避免用户盲目信任机器翻译结果。
本文研究了小红书于2025年1月上线机器翻译功能后用户的反应。基于从11条官方推广帖中收集的6,723条评论，结合情感分析与主题分析，探讨用户对功能的感知与试用情况。结果显示，整体反应积极，但仍有对功能、可及性及翻译准确性的担忧。用户主动尝试输入非典型内容，包括独立词、缩写、网络用语及符号化表达，成功解码时引发正面反馈；而常规语言测试仍较有限。这可能导致用户对机器翻译输出产生无批判接受，凸显计算机科学家、翻译学者与平台设计者在真实场景中加强协作的重要性，以提升翻译性能并促进用户理性参与。
原文摘要 · Abstract (English)
This paper examines user reactions to the launch of the machine translation (MT) feature on Xiaohongshu, a Chinese social media and e-commerce platform, in January 2025. Drawing on a dataset of 6,723 comments collected from 11 official posts promoting the translation function, this paper combines sentiment analysis with thematic analysis to investigate how users perceived and experimented with the function. Results show that reactions were generally positive, although concerns regarding functionality, accessibility, and translation accuracy were also expressed. In addition, users actively tested the function with inputs that are atypical for everyday online communication, including stand-alone words and phrases, abbreviations, internet slang, and symbolic or encoded forms. Successful decoding of these texts elicited positive responses, while testing of more conventional language remained fairly limited. This could lead to uncritical acceptance of MT outputs by users, highlighting the importance of closer collaboration among computer scientists, translation scholars, and platform designers to improve MT performance and promote informed user engagement in real-world scenarios.
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