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February 2, 2026International Journal of Adolescence and Youth0 citationsOpen Access

The emotional response of online stereotype: a word embedding analysis based on ‘full-time children’ texts in China

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LLLi LiaoXYXin Yang

Key Points

  • This research aims to explore emotional responses to the stereotype of full-time children using online text analysis.
  • Analyzed texts from Zhihu and Xiaohongshu using word embedding technology.
  • Applied the Stereotype Content Model to evaluate emotional responses.
  • Constructed mixed emotional indicators to assess explicit and implicit responses.
  • Utilized Welch's analysis of variance to analyze emotional response data.
  • Descriptions with low-competence traits triggered more positive explicit emotional responses.
  • High-warmth traits led to stronger positive implicit emotional responses through related emotions.
  • Mixed emotional responses showed concurrent explicit and implicit reactions toward full-time children's image.

Abstract

Based on the Stereotype Content Model, this study employs word embedding technology to analyze texts from Zhihu and Xiaohongshu related to full-time children, exploring the emotional response characteristics along the dual dimensions of Competence and Warmth in the online stereotype of full-time children. By constructing mixed emotional indicators and applying Welch’s analysis of variance, this study finds that: (1) When full-time children are described with low-competence traits, they receive more positive explicit emotional responses; (2) high-warmth traits significantly enhance positive implicit emotional responses through semantically associated emotions; (3) the results of mixed emotional responses reveal a coexistence pattern of explicit and implicit emotional reactions toward the ‘full-time children’ image group in comment texts. This study reveals the complexity of people’s stereotypes in online contexts and highlights the real predicaments faced by contemporary youth groups in China.

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Cite This Study

Liao et al. (2026) studied this question.

synapsesocial.com/papers/6980ffe7c1c9540dea812cf0https://doi.org/10.1080/02673843.2026.2623343
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