research-article

BudgetMap: Engaging Taxpayers in the Issue-Driven Classification of a Government Budget

Authors:

Jihee KimAuthors Info & Claims

CSCW '16: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing

Pages 1028 - 1039

https://doi.org/10.1145/2818048.2820004

Published: 27 February 2016 Publication History

Abstract

Despite recent efforts in opening up government data, developing tools for taxpayers to make sense of extensive and multi-faceted budget data remains an open challenge. In this paper, we present BudgetMap, an issue-driven classification and navigation interface for the budgets of government programs. Our novel issue-driven approach can complement the traditional budget classification system used by government organizations by reflecting time-evolving public interests. BudgetMap elicits the public to tag government programs with social issues by providing two modes of tagging. User-initiated tagging allows people to voluntarily search for programs of interest and classify each program with related social issues, while system-initiated tagging guides people through possible matches of issues and programs via microtasks. BudgetMap then facilitates visual exploration of the tagged budget data. Our evaluation shows that participants' awareness and understanding of budgetary issues increased after using BudgetMap, while they collaboratively identified issue-budget links with quality comparable to expert-generated links.

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Das DGandhi DSemaan B(2024)Reimagining Communities through Transnational Bengali Decolonial Discourse with YouTube Content CreatorsProceedings of the ACM on Human-Computer Interaction10.1145/36869008:CSCW2(1-36)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686900
Kale ALiu DAyala MSchwab HMcNutt A(2024)What Can Interactive Visualization Do for Participatory Budgeting in Chicago?IEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345634331:1(415-425)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456343
Lilley JTownley S(2024)Tackling transparency in UK politics: application of large language models to clustering and classification of UK parliamentary divisionsJournal of Computational Social Science10.1007/s42001-024-00317-z7:3(2563-2589)Online publication date: 10-Oct-2024
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cover image ACM Conferences

CSCW '16: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing

February 2016

1866 pages

ISBN:9781450335928

DOI:10.1145/2818048

General Chairs:
Darren Gergle
Northwestern University
,
Meredith Ringel Morris
Microsoft Research
,
Program Chairs:
Pernille Bjørn
University of Copenhagen
,
Joseph Konstan
University of Minnesota

Copyright © 2016 ACM.

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Published: 27 February 2016

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CSCW '16: Computer Supported Cooperative Work and Social Computing

February 27 - March 2, 2016

California, San Francisco, USA

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CSCW '16 Paper Acceptance Rate 142 of 571 submissions, 25%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

Das DGandhi DSemaan B(2024)Reimagining Communities through Transnational Bengali Decolonial Discourse with YouTube Content CreatorsProceedings of the ACM on Human-Computer Interaction10.1145/36869008:CSCW2(1-36)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686900
Kale ALiu DAyala MSchwab HMcNutt A(2024)What Can Interactive Visualization Do for Participatory Budgeting in Chicago?IEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345634331:1(415-425)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456343
Lilley JTownley S(2024)Tackling transparency in UK politics: application of large language models to clustering and classification of UK parliamentary divisionsJournal of Computational Social Science10.1007/s42001-024-00317-z7:3(2563-2589)Online publication date: 10-Oct-2024
https://doi.org/10.1007/s42001-024-00317-z
Dove GShanley JMatuk CNov O(2023)Open Data Intermediaries: Motivations, Barriers and Facilitators to EngagementProceedings of the ACM on Human-Computer Interaction10.1145/35795117:CSCW1(1-22)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579511
Zambon TBassetti CPrandi C(2023)A Close Look at Citizen Science Through the HCI Lens: A Systematic Literature ReviewHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42283-6_23(414-435)Online publication date: 25-Aug-2023
https://doi.org/10.1007/978-3-031-42283-6_23
Méndez GMoreno OMendoza P(2022)LegisLatio: A visualization Tool for Legislative Roll-call Vote DataProceedings of the 15th International Symposium on Visual Information Communication and Interaction10.1145/3554944.3554957(1-8)Online publication date: 16-Aug-2022
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Crusoe J(2022)How May an OGD Solution Help You? – An Information Behaviour PerspectiveElectronic Government10.1007/978-3-031-15086-9_12(181-195)Online publication date: 6-Sep-2022
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Jasim MKhaloo PWadhwa SZhang ASarvghad AMahyar N(2021)CommunityClickProceedings of the ACM on Human-Computer Interaction10.1145/34329124:CSCW3(1-32)Online publication date: 5-Jan-2021
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McInnis BSun LShin JDow S(2020)Rare, but Valuable: Understanding Data-centered Talk in News Website Comment SectionsProceedings of the ACM on Human-Computer Interaction10.1145/34152454:CSCW2(1-27)Online publication date: 15-Oct-2020
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Abu-Shanab EAl-Sayed M(2019)Can Gamification Concepts Work With E-Government?Journal of Information Technology Research10.4018/JITR.201907010312:3(44-59)Online publication date: 1-Jul-2019
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