Data: Disentangling Individual Biases in Jury Voting

Dataset

Description

Dataset and code for in-depth analysis of ESC jury members and their voting behavior: The Eurovision Song Contest is one of the worldwide biggest live media events and the world’s leading broadcast of an international music competition. A substantial list of cultural economics papers empirically analyzed the voting behavior of juries (consisting of music industry professionals) and audiences to identify voting biases because of cultural and political influences on the voting bodies. Due to limited data availability, this literature suffered from having to treat the national juries as a black box even though they are composed of individuals with different demographic characteristics (age, gender, etc.) and expert backgrounds (industry managers, musicians, composers, music journalists, etc.). Our analysis benefits from utilizing new data about each individual member of the jury including their role within the jury (e.g., the chairperson) as well as about their individual votes in the ESC. Therefore, for the first time, we can disentangle the voting behavior of the juries and track the voting behavior of individual jury members.
Date made available2023

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