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In certain voting problems, a hidden ground truth is inferred by aggregating the opinions of an electorate. We propose a novel model of these underlying social interactions, and derive maximum likelihood estimators for the ground truth in these models, given the social network and votes. We also evaluate these new estimators, as well as existing ones, on a class of simulated social networks.