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Papers/Notes: Understanding Comments

Tuesday, April 13
2:30 PM - 4:00 PM

Opinion Space: A Scalable Tool for Browsing Online Comments
Siamak Faridani, University of California, Berkeley, USA
Ephrat Bitton, University of California, Berkeley, USA
Kimiko Ryokai, University of California, Berkeley, USA
Ken Goldberg, University of California, Berkeley, USA

Reports results from a user study of Opinion Space, an online interface for visualizing and navigating a diversity of comments. Is alternative to comment lists that improves engagement, agreement, respect.

Short and Tweet: Experiments on Recommending Content from Information Streams
Jilin Chen, University of Minnesota, USA
Rowan Nairn, Palo Alto Research Center, USA
Les Nelson, Palo Alto Research Center, USA
Michael Bernstein, Massachusetts Institute of Technology, USA
Ed Chi, Palo Alto Research Center, USA

Demonstrated quantitatively the effectiveness of 12 different algorithm designs for recommending interesting URLs on Twitter. Conducted field study of the system and discussed generalizing the result to similar platforms.

Characterizing Debate Performance via Aggregated Twitter Sentiment
Nicholas Diakopoulos, Rutgers University, USA
David A. Shamma, Yahoo! Research, USA

Using aggregated Twitter sentiment we demonstrate visuals and metrics which can be used to inform the design of visual analytics systems for sensemaking around social video events.

Dandelion: Supporting Coordinated Collaborative Authoring in Wikis
Changyan Chi, IBM Research - China, China
Michelle X. Zhou, IBM Research - China, China
Min Yang, IBM Research - China, China
Wenpeng Xiao, IBM Research - China, China
Yiqin Yu, IBM Research - China, China
Xiaohua Sun, IBM Research - China, China

Dandelion presents a tag-based approach to coordinated, co-authoring within a wiki. Four real-world pilot deployments demonstrate the usefulness of Dandelion especially in structured, collaborative authoring situations with designated coordinators.

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