Algorithms for the coalitional manipulation problem

Michael Zuckerman*, Ariel D. Procaccia, Jeffrey S. Rosenschein

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations


We investigate the problem of coalitional manipulation in elections, which is known to be hard in a variety of voting rules. We put forward efficient algorithms for the problem in Scoring rules, Maximin and Plurality with runoff, and analyze their windows of error. Specifically, given an instance on which an algorithm fails, we bound the additional power the manipulators need in order to succeed. We finally discuss the implications of our results with respect to the popular approach of employing computational hardness to preclude manipulation.

Original languageAmerican English
Title of host publicationProceedings of the 19th Annual ACM-SIAM Symposium on Discrete Algorithms
PublisherAssociation for Computing Machinery (ACM)
Number of pages10
ISBN (Print)9780898716474
StatePublished - 2008
Event19th Annual ACM-SIAM Symposium on Discrete Algorithms - San Francisco, CA, United States
Duration: 20 Jan 200822 Jan 2008

Publication series

NameProceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms


Conference19th Annual ACM-SIAM Symposium on Discrete Algorithms
Country/TerritoryUnited States
CitySan Francisco, CA

Bibliographical note

Funding Information:
The authors would like to thank Vincent Conitzer for excellent comments on a draft of this paper, and in particular for pointing out the alternative 2-approximation algorithm for Maximin given in Appendix B. The authors also thank the anonymous AIJ reviewers for insightful comments. This work was partially supported by Israel Science Foundation grant #898/05.

Funding Information:
* Corresponding author. E-mail addresses: (M. Zuckerman), (A.D. Procaccia), (J.S. Rosenschein). 1 The author thanks Noam Nisan for a generous grant which supported this work. 2 The author was supported in this work by the Adams Fellowship Program of the Israel Academy of Sciences and Humanities.


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