Local Distance Constrained Bribery in Voting
Palash Dey

TL;DR
This paper investigates the computational complexity of optimal bribery in voting, considering how close voters' preferences can stay to their true preferences under budget constraints, across various voting rules and distance measures.
Contribution
It introduces the Optimal Bribery problem, analyzing its complexity for different voting rules and distance measures, and provides polynomial-time algorithms and NP-completeness results.
Findings
Polynomial-time solvable for plurality and veto rules.
NP-complete for many scoring rules including Borda and Copeland.
Complexity results hold even with minimal allowed preference deviations.
Abstract
Studying complexity of various bribery problems has been one of the main research focus in computational social choice. In all the models of bribery studied so far, the briber has to pay every voter some amount of money depending on what the briber wants the voter to report and the briber has some budget at her disposal. Although these models successfully capture many real world applications, in many other scenarios, the voters may be unwilling to deviate too much from their true preferences. In this paper, we study the computational complexity of the problem of finding a preference profile which is as close to the true preference profile as possible and still achieves the briber's goal subject to budget constraints. We call this problem Optimal Bribery. We consider three important measures of distances, namely, swap distance, footrule distance, and maximum displacement distance, and…
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Taxonomy
TopicsGame Theory and Voting Systems · Complexity and Algorithms in Graphs · Auction Theory and Applications
