The impact of random actions on opinion dynamics
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Abstract (arXiv)
Opinion dynamics have fascinated researchers for centuries. The ability of societies to learn as well as the emergence of irrational it herding are equally evident. The simplest example is that of agents that have to determine a binary action, under peer pressure coming from the decisions observed. By modifying several popular models for opinion dynamics so that agents internalize actions rather than smooth estimates of what other people think, we are able to prove that almost surely the actions final outcome remains random, even though actions can be consensual or polarized depending on the model. This is a theoretical confirmation that the mechanism that leads to the emergence of irrational herding behavior lies in the loss of nuanced information regarding the privately held beliefs behind the individuals decisions.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Apr 2017.
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Citing papers per year: 2021: 1; 2022: 1.
2 papers.
- 2022Predicting Opinion Dynamics via Sociologically-Informed Neural Networkscited by 5
- 2021Sequential Naive Learningcited by 0
- 2022Predicting Opinion Dynamics via Sociologically-Informed Neural Networks7 Jul 2022
- 2021Sequential Naive Learning8 Jan 2021