TBD
Reference Information:
Title: Eddi: interactive topic-based browsing of social status streams
Authors: Michael S. Bernstein of Massachusettes Institute of Technology, Cambridge, MA, USA; Bongwon Suh, Lichan Hong, Sanjay Kairam, and Ed H. Chi of Palo Alto Research Center, Palo Alto, CA, USA; and Jilin Chen of University of Minnesota, Minneapolis, MN, USA
Summary:
The researchers have recognized that there is a vast amount of data that users of certain social networking services, such as Twitter, receive on a daily basis. One problem they have identified is that users often have to search through a lot of data prior to finding information that is of interest to them.
The solution they propose to the problem is implemented in a Twitter client they call Eddi that uses an algorithm that groups topics of similar information together. The researchers have found that users of Twitter that evaluated the Eddi client found it to be a more efficient solution and enjoyable to use.
Discussion:
To this day I have yet to use Twitter, so I am not entirely sure of the difficulties encountered by Twitter users. I can imagine that many different status updates continuously pouring in can be overwhelming. I'm not sure that this client is going to encourage me to start using Twitter anytime soon.
I can see how the client would be useful if you are following a lot of topics where there can be similar information. I can appreciate the cleverness of their algorithm. I still find it hard for me to get excited about this, though. Sorry for being so blasé about the whole situation, but I still feel cynical about Twitter. Doh!
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