Disentangling Individual Biases in Jury Voting: An Empirical Analysis of Voting Behavior in the Eurovision Song Contest
نویسندگان
چکیده
منابع مشابه
Cultural Voting The Eurovision Song Contest
We analyze the voting behavior and ratings of judges in a popular song contest held every year in Europe. The dataset makes it possible to analyze the determinants of success, and gives a rare opportunity to run a direct test of vote trading, or logrolling. Though the votes cast may appear as resulting from logrolling, we show that they are rather driven by linguistic and cultural proximities b...
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The mere exposure, or familiarity, effect is the tendency for people to feel more positive about stimuli to which they have previously been exposed. The Eurovision Song Contest is a two-stage event, in which some contestants in the final will be more familiar to viewers than others. Thus, viewers’ voting is likely to be influenced by this effect. Previous work attempting to demonstrate this eff...
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The voting patterns in the Eurovision Song Contest have attracted attention from various researchers, spawning a small cross-disciplinary field of what might be called 'eurovisiopsephology' incorporating insights from politics, sociology and computer science. Although the outcome of the contest is decided using a simple electoral system, its single parameter the number of countries casting a vo...
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Election data represent a precious source of information to study human behavior at a large scale. In proportional elections with open lists, the number of votes received by a candidate, rescaled by the average performance of all competitors in the same party list, has the same distribution regardless of the country and the year of the election. Here we provide the first thorough assessment of ...
متن کاملERRATUM: Universality in voting behavior: an empirical analysis
Due to a technical error, Figure 7 was published incorrectly in the html version of this article. This has now been corrected online.
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ژورنال
عنوان ژورنال: Social Science Research Network
سال: 2023
ISSN: ['1556-5068']
DOI: https://doi.org/10.2139/ssrn.4343866