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Factful: Engaging Taxpayers in the Public Discussion of a Government Budget

Authors:

Jihee KimAuthors Info & Claims

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Pages 2843 - 2852

https://doi.org/10.1145/2702123.2702352

Published: 18 April 2015 Publication History

Abstract

While a government budget determines how taxpayers' money is allocated to various programs and stakeholders that compete for limited resources, the extensiveness and complexity of the budget and its process hinder taxpayers from understanding the budget information and participating in the public discussion. To engage taxpayers in the public discussion around budgetary issues, we leverage news articles containing budgetary information for design opportunities. We present Factful, a web-based annotative article reading interface that enhances the article with fact-checking support and contextual budgetary information by processing open government data. In our lab study, participants using Factful discussed more critically with more fact-based supporting statements. They built a rich context surrounding the relevant budget facts beyond what was presented in the article. Factful presents a simple yet powerful model for supporting fact-oriented budgetary discussions online by leveraging open government data.

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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
Kim HLe KLim GKim DHong YKim J(2024)DataDive: Supporting Readers' Contextualization of Statistical Statements with Data ExplorationProceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640543.3645155(623-639)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640543.3645155
Palacin VMcDonald SAragón PNelimarkka M(2024)Configurations of Digital Participatory BudgetingACM Transactions on Computer-Human Interaction10.1145/363514431:2(1-28)Online publication date: 5-Feb-2024
https://dl.acm.org/doi/10.1145/3635144
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Index Terms

Factful: Engaging Taxpayers in the Public Discussion of a Government Budget
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

April 2015

4290 pages

ISBN:9781450331456

DOI:10.1145/2702123

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

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Funding Sources

KAIST HRHRP
Samsung Fellowship

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CHI '15

Sponsor:

SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

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CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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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
Kim HLe KLim GKim DHong YKim J(2024)DataDive: Supporting Readers' Contextualization of Statistical Statements with Data ExplorationProceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640543.3645155(623-639)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640543.3645155
Palacin VMcDonald SAragón PNelimarkka M(2024)Configurations of Digital Participatory BudgetingACM Transactions on Computer-Human Interaction10.1145/363514431:2(1-28)Online publication date: 5-Feb-2024
https://dl.acm.org/doi/10.1145/3635144
Yeo SLim GGao JZhang WPerrault S(2024)Help Me Reflect: Leveraging Self-Reflection Interface Nudges to Enhance Deliberativeness on Online Deliberation PlatformsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642530(1-32)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642530
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
McInnis BAjmani LDow S(2022)Engagement or Knowledge Retention: Exploring Trade-offs in Promoting Discussion at News WebsitesProceedings of the ACM on Human-Computer Interaction10.1145/35551946:CSCW2(1-38)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555194
Maas FWolf SHohm AHurtienne J(2021)Citizen Needs – To Be Consideredi-com10.1515/icom-2021-001320:2(141-159)Online publication date: 8-Sep-2021
https://doi.org/10.1515/icom-2021-0013
Kim SEun JSeering JLee J(2021)Moderator Chatbot for Deliberative DiscussionProceedings of the ACM on Human-Computer Interaction10.1145/34491615:CSCW1(1-26)Online publication date: 22-Apr-2021
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Lee M(2019)Challenges of Designing with Open Data: The Case of Cultural DataArchives of Design Research10.15187/adr.2019.08.32.3.5732:3(57-73)Online publication date: 31-Aug-2019
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van Berkel NGoncalves JHettiachchi DWijenayake SKelly RKostakos V(2019)Crowdsourcing Perceptions of Fair Predictors for Machine LearningProceedings of the ACM on Human-Computer Interaction10.1145/33591303:CSCW(1-21)Online publication date: 7-Nov-2019
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