TY - GEN
T1 - Content, context, and critique
T2 - 18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015
AU - Hullman, Jessica
AU - Diakopoulos, Nicholas
AU - Momeni, Elaheh
AU - Adar, Eytan
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/2/28
Y1 - 2015/2/28
N2 - 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.
AB - 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.
KW - Information visualization
KW - commenting
KW - data journalism
UR - http://www.scopus.com/inward/record.url?scp=84963545186&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84963545186&partnerID=8YFLogxK
U2 - 10.1145/2675133.2675207
DO - 10.1145/2675133.2675207
M3 - Conference contribution
AN - SCOPUS:84963545186
T3 - CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing
SP - 1170
EP - 1175
BT - CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing
PB - Association for Computing Machinery, Inc
Y2 - 14 March 2015 through 18 March 2015
ER -