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Toward Understanding Civic Data Bias in 311 Systems: An Information Deserts Perspective

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dc.contributor.author Lee, Myeong
dc.contributor.author Wang, Jieshu
dc.contributor.author Johnston, Erik
dc.contributor.author Harlow, John
dc.contributor.author Gordon, Eric
dc.contributor.author Janzen, Shawn
dc.contributor.author Winter, Susan
dc.date.accessioned 2021-07-21T23:23:38Z
dc.date.available 2021-07-21T23:23:38Z
dc.date.issued 2020-10
dc.identifier.citation Lee, M., Harlow, J., Gordon, E., Wang, J., Jonston, E., Janzen, S., & Winter, S. (2020). Toward Understanding Civic Data Bias in 311 Systems: An Information Deserts Perspective. In CSCW Workshop on Civic Technologies: Research, Practice, and Open Challenges, ACM CSCW 2020, Miami, FL. October 17th. en_US
dc.identifier.uri http://hdl.handle.net/1920/11991
dc.description.abstract While civic technologies for public issues and services such as 311 systems are widely adopted in many U.S. cities, the impact of the emerging civic technologies and their data-level dynamics are unclear. Because the provision patterns of civic issues to technological systems are different across neighborhoods and populations, it is difficult for city officials to understand whether the provided data itself reflects civic issues. Also, the disparities in the information provided to civic technologies in different neighborhoods may exacerbate the existing inequality. To understand how civic data is created and how people's use of civic technologies plays a role as an intermediary process in shaping community performances, we take an information deserts perspective in studying 311 systems. The concept of information deserts is informed by a material understanding of local information landscapes, making it possible to distinguish local information's structural features from its social-construction process. Based on this theoretical lens, we suggest new opportunities for civic technology and data research. en_US
dc.description.sponsorship National Science Foundation en_US
dc.language.iso en_US en_US
dc.publisher CSCW Workshop on Civic Technologies: Research, Practice, and Open Challenges en_US
dc.rights Attribution 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by/3.0/us/ *
dc.subject information science en_US
dc.subject smart cities en_US
dc.subject information deserts en_US
dc.title Toward Understanding Civic Data Bias in 311 Systems: An Information Deserts Perspective en_US
dc.type Working Paper en_US
dc.identifier.doi 10.13140/RG.2.2.26847.79526


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