research-article

Content, Context, and Critique: Commenting on a Data Visualization Blog

Authors:

Jessica Hullman,

Nicholas Diakopoulos,

Eytan AdarAuthors Info & Claims

CSCW '15: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing

Pages 1170 - 1175

https://doi.org/10.1145/2675133.2675207

Published: 28 February 2015 Publication History

Abstract

Online data journalism, including visualizations and other manifestations of data stories, has seen a recent surge of interest. User comments add a dynamic, social layer to interpretation, enabling users to learn from others' observations and social interact around news issues. We present the results of a qualitative study of commenting around visualizations published on a mainstream news outlet, The Economist's Graphic Detail blog. We find that surprisingly, only 42% of the comments discuss the visualization and/or article content. Over 60% of comments discuss matters of context, including how the issue is framed and the relation to outside data. Further, over one third of total comments provide direct critical feedback on the content of presented visualizations and text articles as well as on contextual aspects of the presentation. Our findings suggest using critical social feedback from comments in the design process, and motivate the development of more sophisticated commenting interfaces that distinguish comments by reference.

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Cited By

Wazzan AAhmad IMacneil SSouvenir RGurrin CKongkachandra RSchoeffmann KDang-Nguyen DRossetto LSatoh SZhou L(2024)Context or Clutter? Efficiently Matching Objects Across ScenesProceedings of the 2024 International Conference on Multimedia Retrieval10.1145/3652583.3658090(404-413)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3652583.3658090
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
Fu YStasko J(2024)More Than Data Stories: Broadening the Role of Visualization in Contemporary JournalismIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.328758530:8(5240-5259)Online publication date: Aug-2024
https://doi.org/10.1109/TVCG.2023.3287585
Show More Cited By

Index Terms

Content, Context, and Critique: Commenting on a Data Visualization Blog
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

CSCW '15: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing

February 2015

1956 pages

ISBN:9781450329224

DOI:10.1145/2675133

General Chairs:
Dan Cosley
Cornell University, USA
,
Andrea Forte
Drexel University, USA
,
Program Chairs:
Luigina Ciolfi
Sheffield Hallam University, UK
,
David McDonald
University of Washington, USA

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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Published: 28 February 2015

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CSCW '15

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CSCW '15: Computer Supported Cooperative Work and Social Computing

March 14 - 18, 2015

BC, Vancouver, Canada

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CSCW '15 Paper Acceptance Rate 161 of 575 submissions, 28%;

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

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Cited By

Wazzan AAhmad IMacneil SSouvenir RGurrin CKongkachandra RSchoeffmann KDang-Nguyen DRossetto LSatoh SZhou L(2024)Context or Clutter? Efficiently Matching Objects Across ScenesProceedings of the 2024 International Conference on Multimedia Retrieval10.1145/3652583.3658090(404-413)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3652583.3658090
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
Fu YStasko J(2024)More Than Data Stories: Broadening the Role of Visualization in Contemporary JournalismIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.328758530:8(5240-5259)Online publication date: Aug-2024
https://doi.org/10.1109/TVCG.2023.3287585
Avella SCocchiarella AFonzo DLuciano CPalmieri GPellegrino MScarano V(2023)Campania Crea—A Collaborative Platform to Co-Create Open Data and Scaffold Information Visualization within the Campania RegionElectronics10.3390/electronics1211240912:11(2409)Online publication date: 25-May-2023
https://doi.org/10.3390/electronics12112409
Almahmoud JKarger D(2023)Vizdat: A Technology Probe to Understand the Space of Discussion Around Data Visualization on RedditProceedings of the ACM on Human-Computer Interaction10.1145/35795447:CSCW1(1-16)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579544
Morini FEschenbacher AHartmann JDörk M(2023)From shock to shift: Data visualization for constructive climate journalismIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.3327185(1-11)Online publication date: 2023
https://doi.org/10.1109/TVCG.2023.3327185
Allaham MDiakopoulos N(2022)Predicting COVID: Understanding audience responses to predictive journalism via online commentsNew Media & Society10.1177/14614448221135632(146144482211356)Online publication date: 15-Nov-2022
https://doi.org/10.1177/14614448221135632
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
Wang YDiakopoulos N(2022)Highlighting High-quality Content as a Moderation Strategy: The Role of New York Times Picks in Comment Quality and EngagementACM Transactions on Social Computing10.1145/34842454:4(1-24)Online publication date: 29-Jan-2022
https://dl.acm.org/doi/10.1145/3484245
Lundgard ASatyanarayan A(2022)Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic ContentIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311477028:1(1073-1083)Online publication date: Jan-2022
https://doi.org/10.1109/TVCG.2021.3114770
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