Comprising text from pro and anti women's suffrage sources, with sentiment and topic assignments for newspaper pages from the Chronicling America archive. It was created by Martin Saavedra for a difference-in-differences analysis of how early suffrage laws changed media sentiment and topics.
Use Cases
- Analyze sentiment trends in pro and anti women's suffrage newspaper text over time.
- Conduct topic modeling on newspaper pages to identify key themes in the suffrage debate.
- Apply difference-in-differences analysis to measure the impact of early suffrage laws on media sentiment.
- Compare the distribution of assigned topics between pro-suffrage and anti-suffrage text sources.
Strengths
- Data is sourced from the authoritative Chronicling America newspaper archive from the Library of Congress.
- The dataset is structured for causal inference using a difference-in-differences analytical framework.
- Includes dual analytical dimensions of sentiment and topic assignments for text analysis.
Limitations
- The sample size and temporal coverage of the newspaper pages are unknown.
- The methodology for sentiment and topic assignment is not detailed in the provided description.
- Potential geographic bias is present as the analysis focuses on early suffrage states.
Provenance
- Source
- Chronicling America newspaper archive, Library of Congress.
- Collection Method
- Text collection from pro/anti women's suffrage sources, with sentiment and topic assignment for newspaper pages.
- Time Range
- null
- Freshness
- Last updated on 2026-02-23.
- Geography
- Early suffrage states in the United States.