Digital streaming platforms, including Twitch, Spotify, Netflix, Disney, and Kindle, have emerged as one of the main sources of entertainment with significant growth potential. Many of these platforms distribute royalties among streamers, artists, producers, or writers based on their impact. In this paper, we measure the relevance of each of these contributors to the overall success of the platform, which is information that can play a key role in revenue allocation. We perform an axiomatic analysis to provide normative foundations for three relevance metrics: the uniform, the proportional, and the subscriber-proportional indicators. The last two indicators implement the so-called pro-rata and user-centric models, which are extensively applied to distribute revenues in the music streaming market. The axioms we propose formalize different principles of fairness, stability, and non-manipulability, and are tailor-made for the streaming context. We complete our analysis with a case study that measures the influence of the 19 most-followed streamers worldwide on the Twitch platform.

翻译：数字流媒体平台，包括Twitch、Spotify、Netflix、Disney和Kindle，已成为具有显著增长潜力的主要娱乐来源之一。其中许多平台根据主播、艺术家、制作人或作家的影响力分配版税。本文测度这些贡献者各自对平台整体成功的相关性程度，该信息可在收入分配中发挥关键作用。我们通过公理化分析为三种相关性指标提供规范性基础：均匀指标、比例指标和订阅者比例指标。后两种指标实现了所谓的按比例分配模型和用户中心模型，这些模型被广泛应用于音乐流媒体市场的收入分配。我们提出的公理形式化了公平性、稳定性和不可操纵性的不同原则，并针对流媒体情境进行了定制设计。我们通过案例研究完成分析，测度全球关注度最高的19位Twitch主播对该平台的影响力。