Gender Stereotypes in Newspaper Coverage of Sheinbaum and Gálvez Presidential Campaigns

An unpublished database analyzing front pages and opinion columns from major-circulation newspapers for gender stereotypes targeting presidential candidates Sheinbaum and Gálvez. The 189.1 KB XLSX file served as the basis for academic publications and conference presentations. It was last updated on 2026-05-15.

Use Cases

• Analyze media framing of female political candidates based on described coverage of front pages and opinion columns.
• Study gender stereotypes in political journalism based on the described analysis of newspaper content.
• Train NLP models to identify gendered language in political news based on the described textual analysis.
• Investigate the relationship between media narratives and candidate depoliticization based on the described research focus.

Strengths

• Serves as the basis for at least two documented academic outputs: a journal article and a conference presentation.
• Focuses on a specific, high-profile political event: the 2026 presidential campaigns in Mexico.
• File is available in a widely accessible XLSX format (189.1 KB).

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Analysis of front pages and opinion columns from major-circulation newspapers.

Time Range

Covers the 2026 presidential campaigns.

Freshness

Last updated 2026-05-15 05:42:55; freshness should be verified.

Geography

Likely focuses on Mexico, given the candidates.