Featuring 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 on how early suffrage laws changed media sentiment and topics.
Use Cases
- Analyze sentiment trends in newspaper pages from the Chronicling America archive to measure public opinion shifts around suffrage laws.
- Apply topic modeling to the assigned topics within the newspaper text to understand thematic changes in media coverage of women's suffrage.
- Conduct a difference-in-differences analysis using the sentiment scores to estimate the causal effect of early suffrage laws on media tone.
- Compare the sentiment and topic distributions between pro-suffrage and anti-suffrage text collections.
Strengths
- Data is derived from the authoritative Chronicling America newspaper archive from the Library of Congress.
- The dataset is structured for causal inference, specifically difference-in-differences analysis.
- Includes both sentiment scores and topic assignments for textual analysis.
Limitations
- The specific sample size, number of rows, and column structure are unknown.
- The geographic and temporal coverage of the newspaper pages is not specified.
- The methodology for sentiment and topic assignment is not detailed in the provided description.
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 applied to newspaper pages.
- Time Range
- null
- Freshness
- null
- Geography
- null