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How truth wins in opinion dynamics along issue sequences
Noah E Friedkin1,2, Francesco Bullo3,4
1Center for Control, Dynamical Systems and Computation, University of California, Santa Barbara, CA 93106; friedkin@soc.ucsb.edu.
Abstract:
How truth wins in social groups is an important open problem. Classic experiments on social groups dealing with truth statement issues present mixed findings on the conditions of truth abandonment and reaching a consensus on the truth. No theory has been developed and evaluated that might integrate these findings with a mathematical model of the interpersonal influence system that alters some or all of its members' positions on an issue. In this paper we provide evidence that a general model in the network science on opinion dynamics substantially clarifies how truth wins in groups.
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