Opinion Space

Source: Wikipedia, the free encyclopedia.

Developed at

Hillary Rodham Clinton
explained, "Opinion Space will harness the power of connection technologies to provide a unique forum for international dialogue. This is...an opportunity to extend our engagement beyond the halls of government directly to the people of the world" (2010).

The website uses

deliberative polling, collaborative filtering
, and multidimensional visualization.

See also

Scholarly work

  • Sanjay Krishnan and Ken Goldberg (June 2013). "Distributed Spectral Dimensionality Reduction for Visualizing Textual Data" (PDF). International Conference on Machine Learning (ICML) Workshop on Spectral Learning Methods, Atlanta, GA.
  • Sanjay Krishan, Ken Goldberg, Yuko Okubo, Kanji Uchino (June 2013). "Using a Social Media Platform to Explore How Social Media Can Enhance Primary and Secondary Learning" (PDF). The Sixth Conference of MIT's Learning International Networks Consortium.{{cite web}}: CS1 maint: multiple names: authors list (link)
  • Michael Silverman, Elmira Bakhshalian, Laura Hillman (March 2013). "Social media and employee voice: the current landscape" (PDF). CIPD Research Report on Sustainable Organization Performance.{{cite web}}: CS1 maint: multiple names: authors list (link)
  • David Wong, Siamak Faridani, Ephrat Bitton, Bjoern Hartmann, Ken Goldberg. (May 2011). "The Diversity Donut: Enabling Participant Control Over the Diversity of Recommended Responses" (PDF). ACM International Conference on Computer Human Interaction (CHI). Vancouver, BC, Canada.{{cite web}}: CS1 maint: multiple names: authors list (link)
  • Siamak Faridani, Ephrat Bitton, Kimiko Ryokai, Ken Goldberg (April 2010). "Opinion Space: A Scalable Tool for Browsing Online Comments" (PDF). ACM International Conference on Computer Human Interaction (CHI). Atlanta, GA.{{cite web}}: CS1 maint: multiple names: authors list (link)
  • Ephrat Bitton (2009). "A Spatial Model for Collaborative Filtering of Comments in an Online Discussion Forum". Proceedings of the third ACM conference on Recommender systems - Rec Sys '09. Proceedings of the ACM Conference on Recommender Systems. p. 393.
    S2CID 17631067
    .

References

External links