Inferring true voting outcomes in homophilic social networks

John A. Doucette, Alan Tsang, Hadi Hosseini, Kate Larson, Robin Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Consider a soccer game with spectators in a stadium acting as voters. The spectators are polled to determine whether a ball has crossed a line. Either the ball has crossed, or it has not, but the opinions of individual voters regarding the truth of the matter may differ because of their differing perspectives on the event. Voters positioned far from the event may be unable to accurately assess the outcome compared to those positioned nearby. In practice, however, voters' opinions may not be independently distributed. For example, the voters may talk among themselves before their opinions are gathered. This can distort the distribution of opinions, and introduce correlations into voter reports, preventing recovery of the true outcome. For example, if an announcer states that the ball did cross the line, then voters who did not observe this may report this authoritative opinion rather than their own.

Original languageEnglish (US)
Title of host publicationProceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020
EditorsBo An, Amal El Fallah Seghrouchni, Gita Sukthankar
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages2137-2139
Number of pages3
ISBN (Electronic)9781450375184
StatePublished - 2020
Event19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020 - Virtual, Auckland, New Zealand
Duration: May 19 2020 → …

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume2020-May
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Conference

Conference19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020
CountryNew Zealand
CityVirtual, Auckland
Period5/19/20 → …

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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