Tower of Babel in Cross-Cultural Communication: A Case Study of #Give Me a Chinese Name# Dialogues During the "TikTok Refugees" Event
Jielin Feng, Zhibo Yang, Jingyi Zhao, Yujia Li, Xinwu Ye, Xingyu Lan, Siming Chen
Abstract
The sudden influx of "TikTok refugees" into the Chinese platform RedNote in early 2025 created an unprecedented, large-scale online cross-cultural communication event between the West and East. Although prior HCI research has studied user behavior in social media, most work remains confined to monolingual or single-cultural contexts, leaving cross-linguistic and cultural dynamics underexplored. To address this gap, we focused on a particularly challenging cross-cultural encoding-decoding task that remains stubbornly beyond the reach of machine translation, i.e., foreign newcomers asking Chinese users for Chinese names, and examined how people collectively constructed a digital "Babel Tower" through various information encoding strategies. We collected and analyzed over 70,000 comments from RedNote with a creative human-in-the-loop approach using large language models, deriving a systematic framework summarizing cross-cultural information encoding strategies, * Xingyu Lan and Siming Chen are co-corresponding authors. Xingyu Lan is also a member of the Research Group of Computational and AI Communication at the Institute for Global Communications and Integrated Media.
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