New Indices Measure Agreement, Diversity, and Polarization in Approval Elections
A new computer science paper proposes indices to quantify agreement, diversity, and polarization in approval elections, where voters approve or disapprove of candidates. The indices output values between 0 and 1 and are normalized for saturation, meaning elections with different average approval rates but similar structures yield comparable values. The authors derive a new map of approval elections and analyze real-life data from Pabulib, Preflib, and other sources to highlight similarities and differences. The work is published on arXiv under computer science and game theory.
Key facts
- Indices output values between 0 and 1 for agreement, diversity, and polarization.
- Indices are normalized with respect to saturation.
- Applied to real-life elections from Pabulib, Preflib, and other sources.
- Paper is categorized under Computer Science > Computer Science and Game Theory.
- Published on arXiv with ID 2605.14983.
- Authors propose several indices and analyze their properties.
- A new map of approval elections is derived.
- The work shows similarities and differences between various real-life elections.
Entities
Institutions
- arXiv
- Pabulib
- Preflib