Public Perceptions of Digital Human Teachers: A Sentiment and Thematic Analysis of Commentary from Leading Chinese Social Media Platforms

DOI

10.2991/978-2-38476-593-5_43How to use a DOI?

Keywords

Digital human teachers; SnowNLP-based sentiment analysis; Latent Dirichlet Allocation Topic Modeling

Abstract

Digital human teachers are a new form of AI-enabled education. Understanding public views is key to quality digital education. This study analyzes sentiment and themes from comments on “digital human teachers” and “virtual teachers” across Weibo, Bilibili, and Xiaohongshu. Results show generally positive attitudes, with concerns about technology, pricing, and appearance. Main critiques are high barriers to use, lack of realism, and low perceived necessity. The study recommends optimizing technological, social, and environmental subsystems and their integration.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jialu Cao
PY  - 2026
DA  - 2026/06/30
TI  - Public Perceptions of Digital Human Teachers: A Sentiment and Thematic Analysis of Commentary from Leading Chinese Social Media Platforms
BT  - Proceedings of the 2026 5th International Conference on Humanities, Wisdom Education and Service Management (HWESM 2026)
PB  - Atlantis Press
SP  - 375
EP  - 389
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-593-5_43
DO  - 10.2991/978-2-38476-593-5_43
ID  - Cao2026
ER  -