Rejection or Inclusion in the Emotion-Identity Dynamics of TikTok Refugees on RedNote
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908456862089216 |
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| author | Li, Mingchen Xu, Wenbo Gu, Wenqing Xie, Yixuan Zhou, Yao Dai, Yunsong Tan, Cheng Hui, Pan |
| author_facet | Li, Mingchen Xu, Wenbo Gu, Wenqing Xie, Yixuan Zhou, Yao Dai, Yunsong Tan, Cheng Hui, Pan |
| contents | This study examines cross-cultural interactions between Chinese users and self-identified "TikTok Refugees"(foreign users who migrated to RedNote after TikTok's U.S. ban). Based on a dataset of 1,862 posts and 403,054 comments, we use large language model-based sentiment classification and BERT-based topic modelling to explore how both groups engage with the TikTok refugee phenomenon. We analyse what themes foreign users express, how Chinese users respond, how stances (Pro-China, Neutral, Pro-Foreign) shape emotional expression, and how affective responses differ across topics and identities. Results show strong affective asymmetry: Chinese users respond with varying emotional intensities across topics and stances: pride and praise dominate cultural threads, while political discussions elicit high levels of contempt and anger, especially from Pro-China commenters. Pro-Foreign users exhibit the strongest negative emotions across all topics, whereas neutral users express curiosity and joy but still reinforce mainstream discursive norms. Cross-topic comparisons reveal that appearance-related content produces the most emotionally balanced interactions, while politics generates the highest polarization. Our findings reveal distinct emotion-stance structures in Sino-foreign online interactions and offer empirical insights into identity negotiation in transnational digital publics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_14623 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Rejection or Inclusion in the Emotion-Identity Dynamics of TikTok Refugees on RedNote Li, Mingchen Xu, Wenbo Gu, Wenqing Xie, Yixuan Zhou, Yao Dai, Yunsong Tan, Cheng Hui, Pan Social and Information Networks Computers and Society Human-Computer Interaction This study examines cross-cultural interactions between Chinese users and self-identified "TikTok Refugees"(foreign users who migrated to RedNote after TikTok's U.S. ban). Based on a dataset of 1,862 posts and 403,054 comments, we use large language model-based sentiment classification and BERT-based topic modelling to explore how both groups engage with the TikTok refugee phenomenon. We analyse what themes foreign users express, how Chinese users respond, how stances (Pro-China, Neutral, Pro-Foreign) shape emotional expression, and how affective responses differ across topics and identities. Results show strong affective asymmetry: Chinese users respond with varying emotional intensities across topics and stances: pride and praise dominate cultural threads, while political discussions elicit high levels of contempt and anger, especially from Pro-China commenters. Pro-Foreign users exhibit the strongest negative emotions across all topics, whereas neutral users express curiosity and joy but still reinforce mainstream discursive norms. Cross-topic comparisons reveal that appearance-related content produces the most emotionally balanced interactions, while politics generates the highest polarization. Our findings reveal distinct emotion-stance structures in Sino-foreign online interactions and offer empirical insights into identity negotiation in transnational digital publics. |
| title | Rejection or Inclusion in the Emotion-Identity Dynamics of TikTok Refugees on RedNote |
| topic | Social and Information Networks Computers and Society Human-Computer Interaction |
| url | https://arxiv.org/abs/2507.14623 |