Abstract | ||
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Lots of posts containing social opinions are published on Reddit in a messy and staggered format with sub-Reddit labels summarizing their contents only. It's hard for users to have a global insight across different positions and opinions for a specific topic in a short time, especially for a controversial topic. We propose an intelligent mechanism which combines social opinion clustering and information visualization together. First, we cluster the Reddit posts into different categories based on crowd position and opinions, and generate informative clustering labels using the human computation technique. Second, we create an intelligent user interface with Reddit posts category visualization. This would expose categorized posts of different positions and opinions to users, and motivate users to hunt for posts supported by unlike-minded people.
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Year | Venue | Field |
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2016 | IUI Companion | Intelligent user interface,World Wide Web,Information visualization,Computer science,Visualization,Intelligent interface,Human computation,Human–computer interaction,Cluster analysis,Multimedia |
DocType | ISBN | Citations |
Conference | 978-1-4503-4140-0 | 1 |
PageRank | References | Authors |
0.35 | 1 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mingkun Gao | 1 | 4 | 2.08 |