Readings in information visualization
Is seeing believing?: how recommender system interfaces affect users' opinions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Usage patterns of collaborative tagging systems
Journal of Information Science
Designing for Social Data Analysis
IEEE Transactions on Visualization and Computer Graphics
Infotopia: How Many Minds Produce Knowledge
Infotopia: How Many Minds Produce Knowledge
ManyEyes: a Site for Visualization at Internet Scale
IEEE Transactions on Visualization and Computer Graphics
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Harry Potter and the Meat-Filled Freezer: A Case Study of Spontaneous Usage of Visualization Tools
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Design considerations for collaborative visual analytics
Information Visualization - Special issue on visual analytics science and technology
Voyagers and voyeurs: Supporting asynchronous collaborative visualization
Communications of the ACM - Rural engineering development
Can you ever trust a wiki?: impacting perceived trustworthiness in wikipedia
Proceedings of the 2008 ACM conference on Computer supported cooperative work
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
Financial incentives and the "performance of crowds"
Proceedings of the ACM SIGKDD Workshop on Human Computation
TurKit: Tools for iterative tasks on mechanical turk
VLHCC '09 Proceedings of the 2009 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
Crowdsourcing graphical perception: using mechanical turk to assess visualization design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Who are the crowdworkers?: shifting demographics in mechanical turk
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Do Mechanical Turks dream of square pie charts?
Proceedings of the 3rd BELIV'10 Workshop: BEyond time and errors: novel evaLuation methods for Information Visualization
The perception of correlation in scatterplots
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Do collaborators' annotations help or hurt asynchronous analysis
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion
Shepherding the crowd yields better work
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Open data visualization keeping traces of the exploration process
Proceedings of the First International Workshop on Open Data
Swayed by friends or by the crowd?
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
Influencing visual judgment through affective priming
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Age differences in credibility judgments of online health information
ACM Transactions on Computer-Human Interaction (TOCHI)
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Social visualization systems have emerged to support collective intelligence-driven analysis of a growing influx of open data. As with many other online systems, social signals (e.g., forums, polls) are commonly integrated to drive use. Unfortunately, the same social features that can provide rapid, high-accuracy analysis are coupled with the pitfalls of any social system. Through an experiment involving over 300 subjects, we address how social information signals (social proof) affect quantitative judgments in the context of graphical perception. We identify how unbiased social signals lead to fewer errors over non-social settings and conversely, how biased signals lead to more errors. We further reflect on how systematic bias nullifies certain collective intelligence benefits, and we provide evidence of the formation of information cascades. We describe how these findings can be applied to collaborative visualization systems to produce more accurate individual interpretations in social contexts.