Temporal mechanisms of polarization in online reviews
Antonis Matakos, Panayiotis Tsaparas · 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 2016
In this paper we study the temporal evolution of review ratings. We observe that on average ratings tend to become more polarized over time. To explain this phenomenon we propose a simple model that captures the tendency of users for rating manipulation. Simulations with our model demonstrate that it is successful in capturing the aggregate behavior of the users.