Bribecaster: Documenting bribes through community participation
Name
Madden_Bribecaster.pdf
Size
1.15 MB
Format
Adobe PDF
Checksum (MD5)
c920695a63bf586fde5268431ae84d9d
Author(s)
Mittal, Manas
Wu, Wei
Rubin, Steve
Madden, Samuel R.
Hartmann, Bjorn
Date Issued
February 2012
Journal
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion (CSCW '12)
Publisher
Association for Computing Machinery (ACM)
Citation
Manas Mittal, Wei Wu, Steve Rubin, Sam Madden, and Bjorn Hartmann. 2012. Bribecaster: documenting bribes through community participation. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion (CSCW '12). ACM, New York, NY, USA, 171-174.
Version
Author's final manuscript
Abstract
Corruption is endemic in many emerging economies - many transactions of private citizens with government institutions require payment of bribes. While well known as a general phenomenon, specific data about the "bribe economy" are hard to come by. But such data are needed for rational responses to corruption at the societal and individual level - to expose it; to know which offices to avoid; or to know how much to pay if other recourse is not available. In response to a corruption survey of 102 Indian participants we are developing Bribecaster, a mobile application that enables citizen collection and curation of corruption data. A key research question is how to create a system that has accurate data while simultaneously protecting users from repercussions of having their identities revealed.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1145/2141512.2141570
