  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.
