Digital insights: Analyzing the reproductive intentions and influencing factors among urban women in China through online platforms.

ABSTRACT:

Objective

To explore how fertility-related sentiments expressed by urban Chinese women varied over time and were framed in online discourse between 2011 and 2024.

Methods

This study employed natural language processing (NLP), TF-IDF-based semantic analysis, and multinomial logistic regression to analyze user-generated content from Douyin, Xiaohongshu, and Kuaishou. Sentiment categories (positive, neutral, negative) were classified, and predictive variables such as education, marital status, and urban tier were modeled to identify structural correlates of fertility attitudes.

Results

Negative fertility intentions accounted for 71.0% of all discourse, rising sharply from 56.8% in 2021 to 79.8% in 2024. Neutral and positive expressions comprised 28.5% and 0.5%, respectiv

SUBMITTER: Xiang J 

PROVIDER: S-EPMC12303354 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature