TY - GEN
T1 - Adapting the social network to affect elections
AU - Sina, Sigal
AU - Hazon, Noam
AU - Hassidim, Avinatan
AU - Kraus, Sarit
N1 - Publisher Copyright:
Copyright © 2015, International Foundation for Autonomous Agents.
PY - 2015
Y1 - 2015
N2 - We investigate the effect a social network could have on voting outcomes. We consider a group of self-interested agents where each agent has a strict preference order over a set of outcomes. Each agent votes strategically, taking into consideration both her preferences, and her (limited) information about the preferences of other voters. We assume that the information the agent has comes from her friends in the social network and from a public opinion poll. If agents were not strategic at all, the social network (and the poll) would not matter, since they would just vote according to their preferences. However, if the agents deviate and vote strategically the network plays a great effect. To measure this effect, we focus on iterative voting with Plurality voting rule. We show, both in theory and in simulations, that for many networks, adding a linear number of edges can make any outcome the winner. We view our results as yet another indication to the effect that a central organizer, such as a company who controls social media, could have on our lives - by introducing us to certain people it can affect our information and our decisions.
AB - We investigate the effect a social network could have on voting outcomes. We consider a group of self-interested agents where each agent has a strict preference order over a set of outcomes. Each agent votes strategically, taking into consideration both her preferences, and her (limited) information about the preferences of other voters. We assume that the information the agent has comes from her friends in the social network and from a public opinion poll. If agents were not strategic at all, the social network (and the poll) would not matter, since they would just vote according to their preferences. However, if the agents deviate and vote strategically the network plays a great effect. To measure this effect, we focus on iterative voting with Plurality voting rule. We show, both in theory and in simulations, that for many networks, adding a linear number of edges can make any outcome the winner. We view our results as yet another indication to the effect that a central organizer, such as a company who controls social media, could have on our lives - by introducing us to certain people it can affect our information and our decisions.
KW - Iterative voting
KW - Social choice
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=84945184452&partnerID=8YFLogxK
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AN - SCOPUS:84945184452
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 705
EP - 713
BT - AAMAS 2015 - Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
A2 - Elkind, Edith
A2 - Weiss, Gerhard
A2 - Yolum, Pinar
A2 - Bordini, Rafael H.
T2 - 14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015
Y2 - 4 May 2015 through 8 May 2015
ER -