Quality management and feedback operation for user-generated content considering dynamic value belief

Abstract

The decisions concerning the configuration of user-generated content (UGC) present challenges for quality management and platform monetization. UGC quality, including historical accumulated quality, impacts users’ consumption behaviour and advertising revenues. This study defines the value of UGC consumption based on content quality and price. We model the dynamic accumulation of historical values as value belief using differential equations. A differential game framework is employed to investigate the dynamic interplay between quality and advertising strategies for contributors and the platform. To address concerns about UGC quality, we introduce a user feedback mechanism that reflects post-engagement experiences and influences platform strategies. We investigate dynamic quality and advertising strategies within a decentralized UGC operational framework, both with and without the user feedback mechanism. The findings reveal that user feedback mitigates the negative effects of low-quality UGC and improves platform operational flexibility. Continuous advertising strategies may not always be beneficial, particularly when value belief is low. Furthermore, the user feedback mechanism exhibits different effects under varying subsidy and market potential scenarios. It helps sustain content quality in low-subsidy or unfavourable market conditions while amplifying profitability in high-subsidy or expansive markets. The platform can also determine content type strategies based on UGC period length. More continuous UGC generates short-term profits, whereas more decentralized UGC fosters long-term growth potential. These insights offer strategic guidance for platforms in determining operational models and premium content incentive schemes.