Computer-based systems for cooperative work and group decision making
ACM Computing Surveys (CSUR)
IBIS—a convincing concept…but a lousy instrument?
DIS '97 Proceedings of the 2nd conference on Designing interactive systems: processes, practices, methods, and techniques
Computer Supported Cooperative Work
Scaling Consensus: Increasing Decentralization in Wikipedia Governance
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Crowdsourcing user studies with Mechanical Turk
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Wikipedia, Critical Social Theory, and the Possibility of Rational Discourse
The Information Society
Pathfinder: an online collaboration environment for citizen scientists
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
NewsCube: delivering multiple aspects of news to mitigate media bias
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Videolyzer: quality analysis of online informational video for bloggers and journalists
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Republic.com 2.0
Opinion space: a scalable tool for browsing online comments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Presenting diverse political opinions: how and how much
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
What's your idea?: a case study of a grassroots innovation pipeline within a large software company
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Assigning trust to Wikipedia content
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
Normative influences on thoughtful online participation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Is this what you meant?: promoting listening on the web with reflect
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reject me: peer review and SIGCHI
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Bursting your (filter) bubble: strategies for promoting diverse exposure
Proceedings of the 2013 conference on Computer supported cooperative work companion
Public spheres: ideas taking shape
Proceedings of the 2013 conference on Computer supported cooperative work companion
Challenges and opportunities of local journalism: a case study of the 2012 Korean general election
Proceedings of the 5th Annual ACM Web Science Conference
Cascade: crowdsourcing taxonomy creation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Does clustered presentation lead readers to diverse selections?
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Echo: the editor's wisdom with the elegance of a magazine
Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Catalyst: triggering collective action with thresholds
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Managing political differences in social media
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Integrating on-demand fact-checking with public dialogue
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Can you hear me now?: mitigating the echo chamber effect by source position indicators
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Civic action brokering platforms: facilitating local engagement with ACTion Alexandria
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Computer supported collective action
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We present a novel platform for supporting public deliberation on difficult decisions. ConsiderIt guides people to reflect on tradeoffs and the perspectives of others by framing interactions around pro/con points that participants create, adopt, and share. ConsiderIt surfaces the most salient pros and cons overall, while also enabling users to drill down into the key points for different groups. We deployed ConsiderIt in a contentious U.S. state election, inviting residents to deliberate on nine ballot measures. We discuss ConsiderIt's affordances and limitations, enriched with empirical data from this deployment. We show that users often engaged in normatively desirable activities, such as crafting positions that recognize both pros and cons, as well as points written by people who do not agree with them.