ACM Home Page
Please provide us with feedback. Feedback
Shakespeare, god, and lonely hearts: transforming data access with many eyes
Full text PdfPdf (141 KB)
Source
International Conference on Digital Libraries archive
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries table of contents
Pittsburgh PA, PA, USA
SESSION: Keynote table of contents
Pages 145-146  
Year of Publication: 2008
ISBN:978-1-59593-998-2
Authors
Fernanda Viégas  IBM Research, Cambridge, MA, USA
Martin Wattenberg  IBM Research, Cambridge, MA, USA
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 103,   Citation Count: 0
Additional Information:

abstract   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1378889.1378914
What is a DOI?

ABSTRACT

Data visualization has historically been accessible only to the technological elite. It is, after all, "serious" technology done by experts for experts. But recent web-based visualizations - ranging from political art projects to news stories - have reached millions. Unfortunately, while lay users can view sophisticated visualizations, they have few ways to create them. In order to "democratize" visualization, we have built Many Eyes, a web site where people may upload their own data, create interactive visualizations, and carry on conversations. By making these tools available to anyone on the web, the site fosters a social style of data analysis that empowers users to engage with public data through discussion and collaboration. Political discussions, citizen activism, religious conversations, game playing, and educational exchanges are all happening on Many Eyes. The public nature of these visualizations provides users with a transformative path to information literacy.


Collaborative Colleagues:
Fernanda Viégas: colleagues
Martin Wattenberg: colleagues