abstract

Cross-country User Connections in an Online Social Network for Music

Authors:

Christine Bauer,

Markus SchedlAuthors Info & Claims

CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: LBW0112, Pages 1 - 6

https://doi.org/10.1145/3290607.3312831

Published: 02 May 2019 Publication History

Abstract

Social connections and cultural aspects play important roles in shaping an individual's preferences. For instance, people tend to select friends with similar music preferences. Furthermore, preferences and friending are influenced by cultural aspects. Recommender systems may benefit from these phenomena by using knowledge about the nature of social ties to better tailor recommendations to an individual. Focusing on the specifities of music preferences, we study user connections on Last.fm---an online social network for music. We identify those countries whose users are mainly connected within the same country, and those countries that are characterized by cross-country user connections. Strong cross-country connection pairs are typically characterized by similar cultural, historic, or linguistic backgrounds, or geographic proximity. The United States, the United Kingdom, and Russia are identified as countries having a large relative amount of user connections from other countries. Our results contribute to understanding the complexity of social ties and how they are reflected in connection behavior, and are a promising source for advancements of personalized systems.

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Cited By

Ge XXu CMisaki DMarkus HTsai J(2024)How Culture Shapes What People Want From AIProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642660(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642660
Terroso-Saenz FSoto JMuñoz A(2023)Music Mobility PatternsPattern Recognition10.1016/j.patcog.2023.109807143:COnline publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1016/j.patcog.2023.109807
Ghaiumy Anaraky RLi YKnijnenburg B(2021)Difficulties of Measuring Culture in Privacy StudiesProceedings of the ACM on Human-Computer Interaction10.1145/34795225:CSCW2(1-26)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3479522
Show More Cited By

Index Terms

Cross-country User Connections in an Online Social Network for Music

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Published In

cover image ACM Conferences

CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

3673 pages

ISBN:9781450359719

DOI:10.1145/3290607

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
,
Program Chairs:
Anna Cox
University College London, UK
,
Vassilis Kostakos
University of Melbourne, Australia

Copyright © 2019 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 02 May 2019

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Austrian Science Fund (FWF)

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CHI '19

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CHI '19: CHI Conference on Human Factors in Computing Systems

May 4 - 9, 2019

Glasgow, Scotland Uk

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

Ge XXu CMisaki DMarkus HTsai J(2024)How Culture Shapes What People Want From AIProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642660(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642660
Terroso-Saenz FSoto JMuñoz A(2023)Music Mobility PatternsPattern Recognition10.1016/j.patcog.2023.109807143:COnline publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1016/j.patcog.2023.109807
Ghaiumy Anaraky RLi YKnijnenburg B(2021)Difficulties of Measuring Culture in Privacy StudiesProceedings of the ACM on Human-Computer Interaction10.1145/34795225:CSCW2(1-26)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3479522
Kleć MWieczorkowska A(2021)Music Recommendation Systems: A SurveyRecommender Systems for Medicine and Music10.1007/978-3-030-66450-3_7(107-118)Online publication date: 8-Apr-2021
https://doi.org/10.1007/978-3-030-66450-3_7

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