A comparison of reading paper and on-line documents
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Robust annotation positioning in digital documents
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Popout prism: adding perceptual principles to overview+detail document interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Template detection via data mining and its applications
Proceedings of the 11th international conference on World Wide Web
Proceedings of the working conference on Advanced visual interfaces
Improving proactive information systems
Proceedings of the 10th international conference on Intelligent user interfaces
Saving and using encountered information: implications for electronic periodicals
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Interactive multimedia summaries of evaluative text
Proceedings of the 11th international conference on Intelligent user interfaces
CWS: a comparative web search system
Proceedings of the 15th international conference on World Wide Web
Popcorn: the personal knowledge base
DIS '06 Proceedings of the 6th conference on Designing Interactive systems
News to go: hierarchical text summarization for mobile devices
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Beautiful Evidence
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Getting our head in the clouds: toward evaluation studies of tagclouds
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An assessment of tag presentation techniques
Proceedings of the 16th international conference on World Wide Web
Show me the money!: deriving the pricing power of product features by mining consumer reviews
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Qtag: tagging as a means of rating, opinion-expressing, sharing and visualizing
SIGDOC '07 Proceedings of the 25th annual ACM international conference on Design of communication
Mining tag clouds and emoticons behind community feedback
Proceedings of the 17th international conference on World Wide Web
NewsCube: delivering multiple aspects of news to mitigate media bias
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using Qtag to Extract Dominant Public Opinion in Very Large-Scale Conversation
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
CETR: content extraction via tag ratios
Proceedings of the 19th international conference on World wide web
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Supporting reflective public thought with considerit
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
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The explosive growth of user generated content, along with the continuous increase in the amount of traditional sources of content, has made it extremely hard for users to digest the relevant pieces of information that they need to pay attention to in order to make sense of their needs. Thus, solutions are needed to help both professionals (e.g lawyers, analysts, economists) and ordinary users navigate this flood of information. We present a novel interaction model and system called Echo which uses machine learning techniques to traverse a corpus of documents and distill crucial opinions from the collective intelligence of the crowd. Based on this analysis, Echo creates an intuitive and elegant interface, as though constructed by an editor, that allows users to quickly find salient documents and opinions, all powered by the wisdom of the crowd. The Echo UI directs the user's attention to critical opinions using a natural magazine style metaphor, with visual call outs and other typographic changes. Therefore, this paper present two key contributions (an algorithm and interaction model) that allow a user to "read as normal," while focusing her attention on the important opinions within documents, and showing how these opinions relate to those of the crowd.