The analysis of livestreaming chaos governance from the participation of non-interacting audience based on square evolutionary game model

Abstract

Abstract The live streaming platform has exposed chaos such as pan-entertainment, messy content, and misleading marketing, which has triggered widespread concern from people of all backgrounds in recent years. Live PK is an important live streaming mode for entertainment that converts public domain traffic to private domain traffic and enables the monetization of internet traffic. Nonetheless, as a result of the development of live streaming PK mode, the public order and social norms have been severely disrupted. This study considers the strategies of the government, the live streaming platforms, the live-streamer, and the audience to construct a four-party evolutionary game model. Through the construction of payoff matrices and replicator dynamics equations, this study explores the optimal program of multi-agent decision response logic and strategy equilibrium, and analyzes the influence of key variables such as government credibility loss, punishment of PK live-streamer by live streaming platforms, self-benefit when non-interacting audience feedback, and positive feedback probability of non-interacting audience on system performance. It is discovered that the live streaming platforms, which constitute the central niche of the live stream chaos governance ecosystem, have a significant impact on the strategies of the government, the live-streamer, and the audience. Furthermore, only when the government's punishment for the platform, the platform's punishment regulation, and the live-reward streamer's exceed the limited threshold can it promote the formation of a co-governance situation between the four parties.