We study the effects of campaigning, where the society is partitioned into voter clusters and a diffusion process propagates opinions in a network connecting the clusters. Our model is very powerful and can incorporate many campaigning actions, various partitions of the society into clusters, and very general diffusion processes. Perhaps surprisingly, we show that computing the cheapest campaign for rigging a given election can usually be done efficiently, even with arbitrarily-many voters.
|Title of host publication||Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018|
|Publisher||International Joint Conferences on Artificial Intelligence|
|Number of pages||7|
|State||Published - 2018|
|Event||27th International Joint Conference on Artificial Intelligence, IJCAI 2018 - Stockholm, Sweden|
Duration: 13 Jul 2018 → 19 Jul 2018
|Name||IJCAI International Joint Conference on Artificial Intelligence|
|Conference||27th International Joint Conference on Artificial Intelligence, IJCAI 2018|
|Period||13/07/18 → 19/07/18|
Bibliographical noteFunding Information:
PF was supported by AGH grant 126.96.36.1997 (statutory research). MK was supported by a Technion postdoctoral fellowship and the project 17-09142S of GA Cˇ R.
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