Adam Marcus, Michael S. Bernstein, Osama Badar, David R. Karger, Samuel Madden, Robert C. Miller.
Published in the CHI '11 Proceedings of the 2011 annual conference on Human factors in computing systems.
Author Bios:
Michael Bernstein is a graduate student at MIT.
Osama Badar is a member of CSAIL at MIT.
David Karger is also a member of CSAIL.
Samuel Madden is an associate professor at MIT.
Robert Miller is an associate professor at MIT.
Summary:
Hypothesis:
TwitInfo can provide a useful tool for summarizing and searching twitter.
Methods:
The subjects used TwitInfo to research several different events via tweets. They gathered information about which interface objects were useful and which werent. The system was able to judge whether the overall opinion of a topic was positive or negative.
Results:
Overall a success, TwitInfo organized most things correctly. It was easily able to keep track of events from sporting matches. Almost all participants were easily able to construct the story based on the information from the feeds.
Contents:
This article studies TwitInfo, a platform for constructing events based on tweets about them. It discussed the different trials that the subjects went through to test the system and recorded the results.
Discussion:
I really dont get twitter, but this is a pretty neat application of it. Being able to essentially make a timeline of peoples general ramblings about arbitrary events could really be useful when attempting to keep up with a currently occurring story such as a sports match.
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