Abstract
The single transferable vote (STV) is a system of preferential voting for multiseat elections. Each ballot cast by a voter is a (potentially partial) ranking over a set of candidates. No techniques currently exist for computing the margin of victory (MOV) in STV elections. The MOV is the smallest number of ballot manipulations (changes, additions, and deletions) required to bring about a change in the set of elected candidates. Knowing the MOV gives insight into how much time and money should be spent on auditing the election, and whether uncovered mistakes (such as ballot box losses) throw the election result into doubt—requiring a costly repeat election—or can be safely ignored. We present algorithms for computing lower and upper bounds on the MOV in STV elections. In small instances, these algorithms are able to compute exact margins.
Original language | English |
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Pages (from-to) | 636-653 |
Number of pages | 18 |
Journal | INFORMS Journal on Computing |
Volume | 31 |
Issue number | 4 |
DOIs | |
Publication status | Published - Sept 2019 |
Keywords
- Elections
- Hybrid optimisation
- Margin of victory
- Nonlinear mixed-integer programming