Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article
Open access

Vizdat: A Technology Probe to Understand the Space of Discussion Around Data Visualization on Reddit

Published: 16 April 2023 Publication History

Abstract

Visualizations play a considerable role in explaining trends or providing evidence when consuming data online. Whether those visualizations are shared on news outlets or social networks, platforms usually allow readers to discuss their stories in comments sections. For the scope of this work, we studied the online communityr/dataisbeautiful on Reddit. We found that chart creators were using a variety of authoring tools to share their content. Readers of these posts,commenters, used text mainly to discuss and critique the visual content. We noticed a need for a richer mode of communication that would show instead of telling authors what to do. Based on our findings, we introducedVizdat, a lightweight tool and extension to allow users to visualize and reproduce charts in the comments sections of data stories. We usedVizdat as atechnology probe with 11 Reddit users to create data visualization and discuss charts onr/dataisbeautiful. During the four-week field deployment period, we observed howVizdat was used and interviewed the participants. We found thatcommenters saw value in accessing the visualization specifications throughVizdat and used those charts to structure their replies with richer modalities. As a result, visualizationauthors appreciated the feedback and less toxic discussion provided through comments embedded with modified versions of their charts. In our paper, we share these findings and other insights to understand the dynamics of forum discussion around charts.

References

[1]
2019. Datalib: JavaScript Data Utilities. https://vega.github.io/datalib/
[2]
2019. Datawrapper. https://www.datawrapper.de/index.html
[3]
2019. Library for inferring which type of data visualization can be rendered from a JSON dataset, and with which data field(s): Vizzuality/jiminy. https://github.com/Vizzuality/jiminy original-date: 2016-03-02T10:22:07Z.
[4]
2019. Workbench -- Data workspaces made simple. http://workbenchdata.com/
[5]
2020. RAWGraphs. https://rawgraphs.io/
[6]
2021. Tableau: Business Intelligence and Analytics Software. https://www.tableau.com/
[7]
Jumana Almahmoud, Robert DeLine, and Steven M. Drucker. 2021. How Teams Communicate about the Quality of ML Models: A Case Study at an International Technology Company. Proceedings of the ACM on Human-Computer Interaction 5, GROUP (July 2021), 222:1--222:24. https://doi.org/10.1145/3463934
[8]
Natã M. Barbosa, Gang Wang, Blase Ur, and Yang Wang. 2021. Who Am I?: A Design Probe Exploring Real-Time Transparency about Online and Offline User Profiling Underlying Targeted Ads. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, 3 (Sept. 2021), 1--32. https://doi.org/10.1145/3478122
[9]
Richard Bartle. 1996. Hearts, clubs, diamonds, spades: Players who suit MUDs. vol. 1, no. 1 (June 1996). http: //www.mud.co.uk/richard/hcds.htm
[10]
Tom Blount, Laura Koesten, Yuchen Zhao, and Elena Simperl. 2020. Understanding the Use of Narrative Patterns by Novice Data Storytellers:. In Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications. SCITEPRESS - Science and Technology Publications, Budapest, Hungary, 128--138. https: //doi.org/10.5220/0010121601280138
[11]
Kirsten Boehner, Janet Vertesi, Phoebe Sengers, and Paul Dourish. 2007. How HCI interprets the probes. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1077--1086. https://doi.org/10.1145/1240624.1240789
[12]
Mike Bostock. 2011. D3.js - Data-Driven Documents. https://d3js.org/
[13]
Katy Börner, Adam Maltese, Russell Nelson Balliet, and Joe Heimlich. 2016. Investigating aspects of data visualization literacy using 20 information visualizations and 273 science museum visitors. Information Visualization 15, 3 (July 2016), 198--213. https://doi.org/10.1177/1473871615594652 Publisher: SAGE Publications.
[14]
Alberto Cairo. 2019. How Charts Lie: Getting Smarter about Visual Information. W. W. Norton & Company. Google- Books-ID: qP2KDwAAQBAJ.
[15]
André Calero Valdez, Martina Ziefle, and Michael Sedlmair. 2018. Studying Biases in Visualization Research: Framework and Methods. In Cognitive Biases in Visualizations, Geoffrey Ellis (Ed.). Springer International Publishing, Cham, 13--27. https://doi.org/10.1007/978--3--319--95831--6_2
[16]
Eshwar Chandrasekharan, Mattia Samory, Shagun Jhaver, Hunter Charvat, Amy Bruckman, Cliff Lampe, Jacob Eisenstein, and Eric Gilbert. 2018. The Internet's Hidden Rules: An Empirical Study of Reddit Norm Violations at Micro, Meso, and Macro Scales. Proceedings of the ACM on Human-Computer Interaction 2, CSCW (Nov. 2018), 32:1--32:25. https://doi.org/10.1145/3274301
[17]
Catalina M. Danis, Fernanda B. Viegas, Martin Wattenberg, and Jesse Kriss. 2008. Your place or mine?: visualization as a community component. In Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems - CHI '08. ACM Press, Florence, Italy, 275. https://doi.org/10.1145/1357054.1357102
[18]
Kirstin Fontichiaro and Jo Angela Oehrli. 2016. Why Data Literacy Matters. Knowledge Quest 44, 5 (2016), 21--27. https://eric.ed.gov/?id=EJ1099487 Publisher: American Association of School Librarians.
[19]
Arpita Ghosh and Jon Kleinberg. 2013. Incentivizing participation in online forums for education. In Proceedings of the fourteenth ACM conference on Electronic commerce (EC '13). Association for Computing Machinery, New York, NY, USA, 525--542. https://doi.org/10.1145/2482540.2482587
[20]
Shefali Haldar, Yoojung Kim, Sonali R. Mishra, Andrea L. Hartzler, Ari H. Pollack, and Wanda Pratt. 2020. The Patient Advice System: A Technology Probe Study to Enable Peer Support in the Hospital. Proceedings of the ACM on Human-Computer Interaction 4, CSCW2 (Oct. 2020), 112:1--112:23. https://doi.org/10.1145/3415183
[21]
Jeffrey Heer. 2006. Socializing Visualization. Social Visualization Workshop, CHI (2006), 10.
[22]
Jeffrey Heer, Fernanda B. Viégas, and Martin Wattenberg. 2007. Voyagers and voyeurs: supporting asynchronous collaborative information visualization. In Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '07. ACM Press, San Jose, California, USA, 1029. https://doi.org/10.1145/1240624.1240781
[23]
Fred Hohman, Andrew Head, Rich Caruana, Robert DeLine, and Steven M. Drucker. 2019. Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, 579:1--579:13. https://doi.org/10.1145/ 3290605.3300809 event-place: Glasgow, Scotland Uk.
[24]
Jessica Hullman, Nicholas Diakopoulos, Elaheh Momeni, and Eytan Adar. 2015. Content, Context, and Critique: Commenting on a Data Visualization Blog. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing - CSCW '15. ACM Press, Vancouver, BC, Canada, 1170--1175. https://doi.org/10.1145/2675133. 2675207
[25]
Hilary Hutchinson, Wendy Mackay, Bo Westerlund, Benjamin B. Bederson, Allison Druin, Catherine Plaisant, Michel Beaudouin-Lafon, Stéphane Conversy, Helen Evans, Heiko Hansen, Nicolas Roussel, and Björn Eiderbäck. 2003. Technology probes: inspiring design for and with families. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '03). Association for Computing Machinery, New York, NY, USA, 17--24. https://doi.org/10. 1145/642611.642616
[26]
Danny L. Jorgensen. 2015. Participant Observation. In Emerging Trends in the Social and Behav- ioral Sciences. American Cancer Society, 1--15. https://doi.org/10.1002/9781118900772.etrds0247 _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781118900772.etrds0247.
[27]
Tobias Kauer, Arran Ridley, Marian Dörk, and Benjamin Bach. 2021. The Public Life of Data: Investigating Reactions to Visualizations on Reddit. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (May 2021), 1--12. https://doi.org/10.1145/3411764.3445720 arXiv: 2103.08525.
[28]
Laura Koesten, Kathleen Gregory, Paul Groth, and Elena Simperl. 2021. Talking datasets -- Understanding data sensemaking behaviours. International Journal of Human-Computer Studies 146 (Feb. 2021), 102562. https://doi.org/10. 1016/j.ijhcs.2020.102562
[29]
Jonathan Lazar, Jinjuan Heidi Feng, and Harry Hochheiser. 2010. Research Methods in Human-Computer Interaction. Wiley Publishing.
[30]
David Lloyd and Jason Dykes. 2011. Human-Centered Approaches in Geovisualization Design: Investigating Multiple Methods Through a Long-Term Case Study. IEEE Transactions on Visualization and Computer Graphics 17, 12 (Dec. 2011), 2498--2507. https://doi.org/10.1109/TVCG.2011.209 Conference Name: IEEE Transactions on Visualization and Computer Graphics.
[31]
Jock Mackinlay. 1986. Automating the design of graphical presentations of relational information. ACM Transactions on Graphics 5, 2 (April 1986), 110--141. https://doi.org/10.1145/22949.22950
[32]
Jock Mackinlay, Pat Hanrahan, and Chris Stolte. 2007. Show Me: Automatic Presentation for Visual Analysis. IEEE Transactions on Visualization and Computer Graphics 13, 6 (Nov. 2007), 1137--1144. https://doi.org/10.1109/TVCG.2007. 70594
[33]
Narges Mahyar, Sung-Hee Kim, and Bum Chul Kwon. 2018. Towards a Taxonomy for Evaluating User Engagement in Information Visualization. Workshop on Personal Visualization: Exploring Everyday Life Vol. 3. 2. (2018), 4.
[34]
Brian James McInnis, Lu Sun, Jungwon Shin, and Steven P. Dow. 2020. Rare, but Valuable: Understanding Data-centered Talk in News Website Comment Sections. Proceedings of the ACM on Human-Computer Interaction 4, CSCW2 (Oct. 2020), 174:1--174:27. https://doi.org/10.1145/3415245
[35]
Paul Parsons. 2018. Promoting Representational Fluency for Cognitive Bias Mitigation in Information Visualization. In Cognitive Biases in Visualizations, Geoffrey Ellis (Ed.). Springer International Publishing, Cham, 137--147. https: //doi.org/10.1007/978--3--319--95831--6_10
[36]
Donghao Ren, Bongshin Lee, and Matthew Brehmer. 2019. Charticulator: Interactive Construction of Bespoke Chart Layouts. IEEE Transactions on Visualization and Computer Graphics 25, 1 (Jan. 2019), 789--799. https://doi.org/10.1109/ TVCG.2018.2865158
[37]
Arvind Satyanarayan and Jeffrey Heer. 2014. Lyra: An Interactive Visualization Design Environment: Lyra: An Interactive Visualization Design Environment. Computer Graphics Forum 33, 3 (June 2014), 351--360. https://doi.org/10.1111/cgf.12391
[38]
Fernanda B. Viegas, Martin Wattenberg, Frank van Ham, Jesse Kriss, and Matt McKeon. 2007. ManyEyes: a Site for Visualization at Internet Scale. IEEE Transactions on Visualization and Computer Graphics 13, 6 (Nov. 2007), 1121--1128. https://doi.org/10.1109/TVCG.2007.70577

Index Terms

  1. Vizdat: A Technology Probe to Understand the Space of Discussion Around Data Visualization on Reddit

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image Proceedings of the ACM on Human-Computer Interaction
    Proceedings of the ACM on Human-Computer Interaction  Volume 7, Issue CSCW1
    CSCW
    April 2023
    3836 pages
    EISSN:2573-0142
    DOI:10.1145/3593053
    Issue’s Table of Contents
    This work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 April 2023
    Published in PACMHCI Volume 7, Issue CSCW1

    Check for updates

    Author Tags

    1. online discussion
    2. reddit
    3. reproducibility
    4. technology probe
    5. visualization

    Qualifiers

    • Research-article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 451
      Total Downloads
    • Downloads (Last 12 months)314
    • Downloads (Last 6 weeks)36
    Reflects downloads up to 03 Oct 2024

    Other Metrics

    Citations

    View Options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Get Access

    Login options

    Full Access

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media