{"ID":2892832,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.14623","arxiv_id":"2507.14623","title":"Rejection or Inclusion in the Emotion-Identity Dynamics of TikTok Refugees on RedNote","abstract":"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.","short_abstract":"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...","url_abs":"https://arxiv.org/abs/2507.14623","url_pdf":"https://arxiv.org/pdf/2507.14623v1","authors":"[\"Mingchen Li\",\"Wenbo Xu\",\"Wenqing Gu\",\"Yixuan Xie\",\"Yao Zhou\",\"Yunsong Dai\",\"Cheng Tan\",\"Pan Hui\"]","published":"2025-07-19T13:38:33Z","proceeding":"cs.SI","tasks":"[\"cs.SI\",\"cs.CY\",\"cs.HC\"]","methods":"[\"Language Model\"]","has_code":false}