Keywords: Gendered parenting, Discourse analysis, Chinese social media, Computational social science
Abstract: This study examines a widely circulated parenting maxim in contemporary China—“poor parenting for sons, rich parenting for daughters”—to provide an up-to-date account of how gendered parenting norms are debated on social media. We combine LLM-assisted annotation, topic modeling, and semantic co-occurrence network analysis to trace the structure and evolution of discourse across 331,737 posts from Sina Weibo, Zhihu, and RedNote (2010–2025). Our analyses surface layered asymmetries in attention and evaluation, including the dominance of daughter-focused discussion, the durability of aspirational “Rich Parenting” frames, and a temporal convergence toward endorsing Rich Parenting for both genders. We further identify an emergent theme of “Self-Indulgent Rich Parenting,” indicating a shift from child-centered prescriptions toward individual self-investment.
Paper Type: Long
Research Area: Computational Social Science, Cultural Analytics, and NLP for Social Good
Research Area Keywords: quantitative analyses of news and/or social media, topic modeling, argument mining
Contribution Types: Data analysis
Languages Studied: English
Submission Number: 9877
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