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Emotional divergence among virtual avatar types: A topic-based study using LDA and DistilBERT

Author

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  • Wang, Ying
  • Huam, Hon Tat
  • Hamid, Abu Bakar Abdul

Abstract

Improving user experience depends on knowing users' emotional reactions to various kinds of avatars since avatars are becoming more and more significant in digital communication. Four avatar types: anime style avatars (ASA), virtual image ambassadors (VIA), digital twin avatars (DTA), and hyper-reality avatars (HRA). A total of 32,891 user comments were collected from Weibo, one of the largest Chinese social media platforms, and pre-processed. Text analysis was conducted using word frequency statistics, TF-IDF, LDA topic modeling, and sentiment classification (positive, neutral, negative) via a fine-tuned DistilBERT model. Results show that ASA and VIA associated more positive emotions, while DTA and especially HRA, showed higher levels of neutral and negative emotions, consistent with the Uncanny Valley theory. Emotional responses varied considerably between participants, and entertainment, aesthetics, and virtual reality integration were most salient. This study illustrates the emotional difference between categories of avatars, verifies Use and Satisfaction theory, anthropomorphism and the Uncanny Valley, and has real-world implications for avatar design and emotional marketing.

Suggested Citation

  • Wang, Ying & Huam, Hon Tat & Hamid, Abu Bakar Abdul, 2026. "Emotional divergence among virtual avatar types: A topic-based study using LDA and DistilBERT," Journal of Retailing and Consumer Services, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:joreco:v:88:y:2026:i:c:s0969698925003273
    DOI: 10.1016/j.jretconser.2025.104548
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