State Legislator Tweets on Election Fraud Claims from 2019 to 2022

From 2019 to 2022, this dataset contains tweets from over 4,200 state legislators. It was created by Alexandra Siegel for research on factors associated with legislators making electoral fraud claims. The data examines institutional, individual, and state-level correlates of such claims.

Use Cases

• Analyze partisan differences in election fraud rhetoric based on legislator party affiliation mentioned in the description
• Model the relationship between state-level demographics and fraud claims based on state nonwhite population data
• Study gender differences in political communication based on the mention of female legislators making fewer claims
• Investigate the effect of legislative professionalism and institutional power on public contestation of elections

Strengths

• Contains tweets from over 4,200 state legislators
• Covers a defined period from 2019 to 2022 characterized by heightened election criticism

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

Harvard Dataverse

Collection Method

Likely collected via Twitter API or similar social media data gathering methods.

Time Range

2019–2022

Freshness

Last updated 2026-05-13 16:16:07; freshness should be verified

Geography

United States (implied by focus on state legislators)