A study by the Proceedings
of the National Academy of Sciences of the United States of America found
that individuals’ social judgments become more similar when subjects observed
each other’s beliefs, thereby reducing diversity without a corresponding
increase in group accuracy. Contrastingly, this study also shows the general
network conditions under which social influence improves the accuracy of group
estimates, even as individual beliefs become more similar. The study finds that
in decentralized communication networks, group estimates become reliably more
accurate as a result of information exchange. Furthermore, results show that
the dynamics of group accuracy change with network structure. In centralized
networks, where the influence of central individuals dominates the collective
estimation process, group estimates become more likely to increase in error.
Becker, J., Brackbill, D., & Centola, D.
(2017). Network dynamics of social influence in the wisdom of crowds. Proceedings
of the National Academy of Sciences of the United States of America. http://dx.doi.org/10.1073/pnas.1615978114
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