Noise, fake news, and tenacious Bayesians

التفاصيل البيبلوغرافية
العنوان: Noise, fake news, and tenacious Bayesians
المؤلفون: Brody, Dorje C.
سنة النشر: 2021
المجموعة: Mathematics
Quantitative Finance
مصطلحات موضوعية: Economics - Theoretical Economics, Economics - General Economics, Mathematics - Probability
الوصف: A modelling framework, based on the theory of signal processing, for characterising the dynamics of systems driven by the unravelling of information is outlined, and is applied to describe the process of decision making. The model input of this approach is the specification of the flow of information. This enables the representation of (i) reliable information, (ii) noise, and (iii) disinformation, in a unified framework. Because the approach is designed to characterise the dynamics of the behaviour of people, it is possible to quantify the impact of information control, including those resulting from the dissemination of disinformation. It is shown that if a decision maker assigns an exceptionally high weight on one of the alternative realities, then under the Bayesian logic their perception hardly changes in time even if evidences presented indicate that this alternative corresponds to a false reality. Thus confirmation bias need not be incompatible with Bayesian updating. By observing the role played by noise in other areas of natural sciences, where noise is used to excite the system away from false attractors, a new approach to tackle the dark forces of fake news is proposed.
Comment: 23 pages, 6 figures, version to appear in Frontiers in Psychology
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2110.03432
رقم الأكسشن: edsarx.2110.03432
قاعدة البيانات: arXiv