Content, context, and critique: Commenting on a data visualization Blog

Jessica Hullman, Nicholas Diakopoulos, Elaheh Momeni, Eytan Adar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationCSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery, Inc
Pages1170-1175
Number of pages6
ISBN (Electronic)9781450329224
DOIs
StatePublished - Feb 28 2015
Event18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015 - BC, Canada
Duration: Mar 14 2015Mar 18 2015

Other

Other18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015
Country/TerritoryCanada
CityBC
Period3/14/153/18/15

Keywords

  • Information visualization
  • commenting
  • data journalism

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Content, context, and critique: Commenting on a data visualization Blog'. Together they form a unique fingerprint.

Cite this