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Author Hemaspaandra, Lane A. ♦ Faliszewski, Piotr ♦ Hemaspaandra, Edith
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Computational complexity may truly be the shield against election manipulation.
Description Affiliation: University of Rochester, Rochester, NY (Hemaspaandra, Lane A.) || Rochester Institute of Technology, Rochester, NY (Hemaspaandra, Edith) || AGH University of Science and Technology, Kraków, Poland (Faliszewski, Piotr)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 53
Issue Number 11
Page Count 9
Starting Page 74
Ending Page 82

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Source: ACM Digital Library