Studying cooperation and conflict between authors with history flow visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How and why Wikipedia works: an interview with Angela Beesley, Elisabeth Bauer, and Kizu Naoko
Proceedings of the 2006 international symposium on Wikis
A content-driven reputation system for the wikipedia
Proceedings of the 16th international conference on World Wide Web
Quantitative analysis of thewikipedia community of users
Proceedings of the 2007 international symposium on Wikis
Cooperation and quality in wikipedia
Proceedings of the 2007 international symposium on Wikis
Creating, destroying, and restoring value in wikipedia
Proceedings of the 2007 international ACM conference on Supporting group work
Measuring article quality in wikipedia: models and evaluation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Information quality work organization in wikipedia
Journal of the American Society for Information Science and Technology
Wikipedians are born, not made: a study of power editors on Wikipedia
Proceedings of the ACM 2009 international conference on Supporting group work
A jury of your peers: quality, experience and ownership in Wikipedia
Proceedings of the 5th International Symposium on Wikis and Open Collaboration
Lurking? cyclopaths?: a quantitative lifecycle analysis of user behavior in a geowiki
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Finding social roles in Wikipedia
Proceedings of the 2011 iConference
Putting ubiquitous crowd-sourcing into context
Proceedings of the 2013 conference on Computer supported cooperative work
Temporal analysis of activity patterns of editors in collaborative mapping project of OpenStreetMap
Proceedings of the 9th International Symposium on Open Collaboration
Mind the map: the impact of culture and economic affluence on crowd-mapping behaviours
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Modelling growth of urban crowd-sourced information
Proceedings of the 7th ACM international conference on Web search and data mining
Hi-index | 0.00 |
The world is in the midst of an immense population shift from rural areas to cities. Urban elements, such as businesses, Points-of-Interest (POIs), transportation, and housing are continuously changing, and collecting and maintaining accurate information about these elements within spatial databases has become an incredibly onerous task. A solution made possible by the uptake of social media is crowd-sourcing, where user-generated content can be cultivated into meaningful and informative collections, as exemplified by sites like Wikipedia. This form of user-contributed content is no longer confined to the Web: equipped with powerful mobile devices, citizens have become cartographers too, volunteering geographic information (e.g., POIs) as exemplified by sites like OpenStreetMap. In this paper, we investigate the extent to which crowd-sourcing can be relied upon to build and maintain an accurate map of the changing world, by means of a thorough analysis and comparison between traditional web-based crowd-sourcing (as in Wikipedia) and urban crowd-sourcing (as in OpenStreetMap).