Manipulation is Harder with Incomplete Votes
Palash Dey, Neeldhara Misra, and Y. Narahari

TL;DR
This paper explores the complexity of manipulation in voting when voters' preferences are only partially known, showing that manipulation generally becomes more computationally difficult under incomplete information scenarios.
Contribution
It introduces and analyzes the computational complexity of weak and strong manipulation problems with partial votes across various voting rules, highlighting increased difficulty.
Findings
Manipulation is generally harder with incomplete votes.
Most voting rules exhibit increased computational complexity in this setting.
Some exceptions where complexity does not increase significantly.
Abstract
The Coalitional Manipulation (CM) problem has been studied extensively in the literature for many voting rules. The CM problem, however, has been studied only in the complete information setting, that is, when the manipulators know the votes of the non-manipulators. A more realistic scenario is an incomplete information setting where the manipulators do not know the exact votes of the non- manipulators but may have some partial knowledge of the votes. In this paper, we study a setting where the manipulators know a partial order for each voter that is consistent with the vote of that voter. In this setting, we introduce and study two natural computational problems - (1) Weak Manipulation (WM) problem where the manipulators wish to vote in a way that makes their preferred candidate win in at least one extension of the partial votes of the non-manipulators; (2) Strong Manipulation (SM)…
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Taxonomy
TopicsGame Theory and Voting Systems · Auction Theory and Applications · Internet Traffic Analysis and Secure E-voting
