Paper Reading #25 :TwitInfo: Aggregating and Visualizing Microblogs for Event Exploration
Reference Authors: Adam Marcus, Michael S. Bernstein, Osama Badar, David R. Karger, Samuel Madden, Robert C. Miller Affiliation: MIT CSAIL,32 Vassar St., Cambridge MA Presentation: CHI 2011, May 7–12, 2011, Vancouver, BC, Canada. Summary Hypothesis For people trying to understand events by querying services like Twitter, a chronological log of posts makes it very difficult to get a detailed understanding of an event.This paper presents TwitInfo, a system for visualizing and summarizing events on Twitter. Contents TwitInfo allows users to browse a large collection of tweets using a timeline-based display that highlights peaks of high tweet activity. A novel streaming algorithm automatically discovers these peaks and labels them meaningfully using text from the tweets. Users can drill down to subevents, and explore further via geolocation, sentiment, and popular URLs. They present an algorithm and an user interface as the TwitInfo system. An evaluation of the TwitInfo system revealed th...