Measures of Relevance to the Success of Streaming Platforms

43 Pages Posted: 10 Apr 2024

See all articles by Juan Carlos Gonçalves-Dosantos

Juan Carlos Gonçalves-Dosantos

Universidad Miguel Hernández de Elche

Ricardo Martinez

University of Granada

Joaquín Sánchez-Soriano

Universidad Miguel Hernández de Elche

Date Written: March 13, 2024

Abstract

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.

Keywords: Measure, relevance, proportionality, streaming, axiom

Suggested Citation

Gonçalves-Dosantos, Juan Carlos and Martinez, Ricardo and Sánchez-Soriano, Joaquín, Measures of Relevance to the Success of Streaming Platforms (March 13, 2024). Available at SSRN: https://ssrn.com/abstract=4757766 or http://dx.doi.org/10.2139/ssrn.4757766

Juan Carlos Gonçalves-Dosantos

Universidad Miguel Hernández de Elche ( email )

Avenida de la Universidad s/n
Elche, Alicante 03202
Spain

Ricardo Martinez (Contact Author)

University of Granada ( email )

C/Rector López Argueta S/N
Granada, Granada 18071
Spain

Joaquín Sánchez-Soriano

Universidad Miguel Hernández de Elche

Avenida de la Universidad s/n
Elche, Alicante 03202
Spain

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