U.S. Electoral Manipulation Resistance Case Study, 2020-2024

A case study by Maria Lindén analyzes resistance to electoral manipulation in the United States between the 2020 and 2024 elections. The dataset, last updated in April 2026, includes a 442.8 KB collection of files in PDF and XLSX formats. It applies and develops frameworks for categorizing resisting actors and their strategies.

Use Cases

• Categorizing institutional, political, social, and grassroots resisting actors based on the described framework.
• Analyzing judicial, socio-discursive, procedural, and collective resistance strategies mentioned in the description.
• Examining the scattered nature of resistance cooperation during the 2020-2024 interlude.

Strengths

• Includes a timely case study on a rarely examined country in autocratization studies.
• Dataset is openly licensed under CC-BY-4.0.
• Provides a novel framework categorizing eight distinct resistance strategies.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The dataset is small at 442.8 KB, indicating limited scope or primarily textual analysis.

Provenance

Source

figshare, authored by Maria Lindén.

Collection Method

Case study analysis applying and developing theoretical frameworks.

Time Range

Covers the period between the 2020 and 2024 U.S. elections.

Freshness

Last updated 2026-04-20 07:03:14; freshness should be verified.

Geography

United States.