Visualizing dispute sections and relations from the sequence of replying comments
Proceedings of the 2011 ACM Symposium on Applied Computing
IssueGalaxy: interactive visualizing tools for the current issues in an internet discussion site
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Improving blog exploration through interactive visualization
Proceedings of the International Working Conference on Advanced Visual Interfaces
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In recent years, the blog has become the mosttypical social media for citizens to share their opinions. Inaddition, a large number of blogs reflect current social trends ormajor issues. Especially, more than thousand articles and morethan 10,000 responding messages (comments) are registered ona well-known blog in a day. It is hard to search and exploreuseful messages on blogs since most blog systems show articlesand their comments in a form of a sequential list. Also, therecan be many unrelated comments, such as ad messages, andthese spam comments hinder the user from locating the helpfulcomments. To overcome these shortcomings, we have designedand implemented TRIB (Telescope for Responding commentsfor Internet Blogs) for visualizing blog articles including thereplying comments for them. TRIB considers the semanticweight between the subject article and corresponding commentsusing user-defined dictionaries, which provide variouspersonalized views for a large set of comments on blogs orInternet discussion forums. To show the usefulness of TRIB,we conducted some experiments with articles that have morethan 1,000 comments.