Incentivizing High-quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium
Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu

TL;DR
This paper investigates the existence of pure Nash equilibria in mechanisms incentivizing heterogeneous users to produce high-quality content, considering diverse user abilities and various allocation rules.
Contribution
It introduces a framework accounting for user heterogeneity and analyzes PNE existence across different mechanisms, providing constructive methods to find equilibria.
Findings
PNE exists for some mechanisms with specific allocation rules.
PNE does not exist for certain other mechanisms.
Provides algorithms to find PNE when they exist.
Abstract
We study the existence of pure Nash equilibrium (PNE) for the mechanisms used in Internet services (e.g., online reviews and question-answer websites) to incentivize users to generate high-quality content. Most existing work assumes that users are homogeneous and have the same ability. However, real-world users are heterogeneous and their abilities can be very different from each other due to their diverse background, culture, and profession. In this work, we consider heterogeneous users with the following framework: (1) the users are heterogeneous and each of them has a private type indicating the best quality of the content she can generate; (2) there is a fixed amount of reward to allocate to the participated users. Under this framework, we study the existence of pure Nash equilibrium of several mechanisms composed by different allocation rules, action spaces, and information…
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Taxonomy
TopicsGame Theory and Applications · Auction Theory and Applications · Advanced Bandit Algorithms Research
