NDLI: A study on the impact of crowd-based voting schemes in the 'Eurovision' European contest

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A study on the impact of crowd-based voting schemes in the 'Eurovision' European contest

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A study on the impact of crowd-based voting schemes in the 'Eurovision' European contest

Content Provider	ACM Digital Library
Author	Cajias, Raul Orgaz, Gema Bello Camacho, David
Abstract	The Eurovision contest has been the reference on european song contests for the past 50 years. Countries in the European Union can shows the rest of the participants their current music tendencies. This phenomena has been studied in domains like physic and social sciences to find correlations between contests and current political and socio-economy trends in EU. The inclusion of web and social technologies some years ago, have caused a disruption in the traditional voting system whereby the audience is encouraged to participate by casting votes for their favorite song. As a result, this system yields new, relevant information that may be extrapolated to social and political tendencies in Europe with a higher degree accuracy than by data collected using the previous jury-based system. This paper provides an initial data analysis in crowd behavior to assess the impact of the televote system, in the Eurovision voting dynamic, by focusing on two distinct five years periods that can successfully contrast each voting scheme. Analyzing these periods separately, we can observe results from the televoting contests and then compare to the jury to see if there is a change in voting patterns. Finally, we study the underlying community structure of the voting network using the Cluster Percolation Method and Edge Betweenness to discover stable core communities spanning a number of years in the contest. The clusters obtained using these algorithms are then used to compare how these stable communities have evolving during the considered periods.
Starting Page	1
Ending Page	9
Page Count	9
File Format	PDF
ISBN	9781450301480
DOI	10.1145/1988688.1988718
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-05-25
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Eurovision Cpm Edge betweenness Social mining Network Web mining Televoting Voting partnership Data mining Graph based algorithms
Content Type	Text
Resource Type	Article

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