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We consider a general model of boundedly rational opinion formation in social networks. We show that long run opinions … opinions of all agents to an arbitrary desired opinion, by infinitesimally perturbing his updating behavior. However, when … opinion formation is monitored, then as the perturbation goes to zero so does the extend to which long run opinions can be …
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determinants of the observed gradual downgrading of expert opinion on complicated issues and the decreasing trust in science. We … weight on expert opinion. Networks make fundamental biases be enhanced by peer-induced amplification factors, a finding …
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We present a model of opinion formation where individuals repeatedly engage in discussion and update their opinion in a … opinion truthfully, agents in our model may state an opinion that differs from their true opinion. The incentive to do so is … induced by agents' preferences for conformity. We model opinion formation as a dynamic process and identify conditions for …
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Online ratings play an important role in many markets. However, how fast they can reveal seller types remains unclear. To study this question, we propose a new model in which a buyer learns about the seller’s type from previous ratings and her own experience and rates the seller if she learns...
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Over the past 15 years,there have been a number of studies using text mining for predicting stock market data. Two recent publications employed support vector machines and second-order Factorization Machines, respectively, to this end. However, these approaches either completely neglect...
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