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On the "localness" of user-generated content

Published: 06 February 2010 Publication History

Abstract

The "localness" of participation in repositories of user-generated content (UGC) with geospatial components has been cited as one of UGC's greatest benefits. However, the degree of localness in major UGC repositories such as Flickr and Wikipedia has never been examined. We show that over 50 percent of Flickr users contribute local information on average, and over 45 percent of Flickr photos are local to the photographer. Across four language editions of Wikipedia, however, we find that participation is less local. We introduce the spatial content production model (SCPM) as a possible factor in the localness of UGC, and discuss other theoretical and applied implications.

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cover image ACM Conferences
CSCW '10: Proceedings of the 2010 ACM conference on Computer supported cooperative work
February 2010
468 pages
ISBN:9781605587950
DOI:10.1145/1718918
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 06 February 2010

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Author Tags

  1. flickr
  2. local
  3. multilingual
  4. user behavior
  5. user-generated content
  6. volunteered geographic information
  7. wikipedia

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CSCW '10
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CSCW '10: Computer Supported Cooperative Work
February 6 - 10, 2010
Georgia, Savannah, USA

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  • (2024)Can tweets be word of mouth that changes risky behaviors?Journal of Business Research10.1016/j.jbusres.2024.114501174(114501)Online publication date: Mar-2024
  • (2023)Personalized Privacy Protection Based on Space Grid in Mobile CrowdsensingApplied Sciences10.3390/app13231269613:23(12696)Online publication date: 27-Nov-2023
  • (2023)Analysing the effect of COVID-19 on the localness of visitors to Florida state parks and New York attractions using online reviews, tweets, and SafeGraph travel patternsJournal of Location Based Services10.1080/17489725.2023.229236318:1(118-138)Online publication date: 8-Dec-2023
  • (2021)The Role of Local Content in Wikipedia: A Study on Reader and Editor EngagementÁrea Abierta10.5209/arab.7280121:2(123-151)Online publication date: 17-May-2021
  • (2021)Uneven geographies in the various language editions of Wikipedia: the case of Ukrainian citiesHungarian Geographical Bulletin10.15201/hungeobull.70.3.470:3(249-266)Online publication date: 30-Sep-2021
  • (2021)The Wikipedia Diversity Observatory: helping communities to bridge content gaps through interactive interfacesJournal of Internet Services and Applications10.1186/s13174-021-00141-y12:1Online publication date: 1-Nov-2021
  • (2021)Errors in Geotargeted Display AdvertisingProceedings of the ACM on Human-Computer Interaction10.1145/34491665:CSCW1(1-19)Online publication date: 13-Apr-2021
  • (2020)Opportunities and Challenges of Geospatial Analysis for Promoting Urban Livability in the Era of Big Data and Machine LearningISPRS International Journal of Geo-Information10.3390/ijgi91207529:12(752)Online publication date: 15-Dec-2020
  • (2020)Location in location-less environments: The role of geospatial concordance in online information evaluationNew Media & Society10.1177/146144482093560823:9(2708-2728)Online publication date: 6-Jul-2020
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