DMPOFI: Fertility Intentions in China from 45,810 Weibo Posts, 2015-2023

DMPOFI (Dynamic Monitoring of Public Opinion on Fertility Intentions) is a dataset of 45,810 Chinese-language Weibo posts analyzed for public sentiment toward fertility intentions. Xiaoning Wang created it using LLMs for noise removal and weighted sentiment analysis, combined with empirical data. The dataset covers posts from 2015 to 2023.

Use Cases

• Analyzing temporal trends in public fertility sentiment based on weighted sentiment analysis results
• Identifying key discussion topics influencing fertility intentions based on LDA topic modeling
• Evaluating the impact of policy changes on public opinion based on the identified core factors
• Training models for sentiment analysis on Chinese social media text related to social policies

Strengths

• Contains 45,810 social media posts, providing a substantial text corpus
• Covers a nine-year time range from 2015 to 2023, allowing longitudinal analysis
• Utilizes advanced methods like LLM-assisted noise removal and weighted sentiment analysis

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Data is exclusively from Weibo and in Chinese, which may limit applicability to other platforms or languages
• Row count for derived analytical results (e.g., sentiment scores) is unknown

Provenance

Source

Xiaoning Wang

Collection Method

Analysis of Weibo posts using Large Language Models for noise removal and weighted sentiment analysis, LDA topic modeling, and TF-IDF.

Time Range

2015-2023

Freshness

Last updated 2026-03-19 06:34:53; freshness should be verified

Geography

China