research-article

A study of multilingual social tagging of art images: cultural bridges and diversity

Authors:

Jennifer GolbeckAuthors Info & Claims

CSCW '12: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work

Pages 695 - 704

https://doi.org/10.1145/2145204.2145310

Published: 11 February 2012 Publication History

Abstract

The goal of this study is to compare social tagging patterns in two languages in image collections of art, while seeking exploitable strengths for the application of multilingual social tagging in digital libraries and museums. Crowdsourcing the annotation of digital image collections of artworks to different language communities has the potential to bridge language borders and reach wider audiences. This mixed methods study is based on a collection of digital images of paintings for which tags in Spanish and English were collected. The results show that the level of agreement in the vocabulary describing an image does not change significantly when adding a second language, but different cultural perspectives can be found for certain images when comparing less frequent tags across languages. Understanding and comparing tagging behaviors across languages is necessary for the design of user interfaces that support diversity and encourage sharing of perspectives about the artwork images.

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Cited By

Oppenlaender JAbbas TGadiraju U(2024)The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and GuidelinesProceedings of the ACM on Human-Computer Interaction10.1145/36410238:CSCW1(1-45)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641023
Fan SBarlas PChristoforou EOtterbacher JSadiq SDemartini GBaeza-Yates RWeller KPortela MSeneviratne OWeber IYasseri TBon ASrinivas SIbáñez L(2022)Socio-Economic Diversity in Human AnnotationsProceedings of the 14th ACM Web Science Conference 202210.1145/3501247.3531588(98-109)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1145/3501247.3531588
Hansson KDahlgren A(2022)Choice, Negotiation, and Pluralism: a Conceptual Framework for Participatory Technologies in Museum CollectionsComputer Supported Cooperative Work10.1007/s10606-022-09441-831:4(603-631)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s10606-022-09441-8
Show More Cited By

Index Terms

A study of multilingual social tagging of art images: cultural bridges and diversity
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
2. Social and professional topics
  1. Professional topics
    1. Computing and business
      1. Computer supported cooperative work

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cover image ACM Conferences

CSCW '12: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work

February 2012

1460 pages

ISBN:9781450310864

DOI:10.1145/2145204

General Chairs:
Steven Poltrock
Boeing Research & Technology
,
Carla Simone
University of Milano-Biccoca
,
Program Chairs:
Jonathan Grudin
Microsoft Research
,
Gloria Mark
University of California, Irvine
,
John Riedl
University of Minnesota

Copyright © 2012 ACM.

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Published: 11 February 2012

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CSCW '12: Computer Supported Cooperative Work

February 11 - 15, 2012

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CSCW '12 Paper Acceptance Rate 164 of 415 submissions, 40%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

Oppenlaender JAbbas TGadiraju U(2024)The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and GuidelinesProceedings of the ACM on Human-Computer Interaction10.1145/36410238:CSCW1(1-45)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641023
Fan SBarlas PChristoforou EOtterbacher JSadiq SDemartini GBaeza-Yates RWeller KPortela MSeneviratne OWeber IYasseri TBon ASrinivas SIbáñez L(2022)Socio-Economic Diversity in Human AnnotationsProceedings of the 14th ACM Web Science Conference 202210.1145/3501247.3531588(98-109)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1145/3501247.3531588
Hansson KDahlgren A(2022)Choice, Negotiation, and Pluralism: a Conceptual Framework for Participatory Technologies in Museum CollectionsComputer Supported Cooperative Work10.1007/s10606-022-09441-831:4(603-631)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s10606-022-09441-8
Dahlgren AHansson K(2022)Crowdsourcing Cultural Heritage As Democratic PracticeParticipatory Practices in Art and Cultural Heritage10.1007/978-3-031-05694-9_4(39-48)Online publication date: 25-Aug-2022
https://doi.org/10.1007/978-3-031-05694-9_4
Hai-Jew S(2015)Sampling Public Sentiment Using Related Tags (and User-Created Content) Networks from Social Media PlatformsEnhancing Qualitative and Mixed Methods Research with Technology10.4018/978-1-4666-6493-7.ch014(331-390)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-6493-7.ch014
Klavans JLaPlante RGolbeck J(2014)Subject matter categorization of tags applied to digital images from art museumsJournal of the Association for Information Science and Technology10.1002/asi.2295065:1(3-12)Online publication date: 1-Jan-2014
https://dl.acm.org/doi/10.1002/asi.22950

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