Generating Live Sports Updates from Twitter by Finding Good Reporters

Twitter has emerged as a platform for crowds to express their opinions. Many Twitter users post their opinions, impressions, and statuses of televised events such as sports events. However, since the volume of such posts is extremely huge, it requires a lot of time and effort to understand what happens within events. We propose a method of generating live sports updates from Twitter posts on an event. Our method selects descriptive and prompt tweets that are posted within a short time after important sub events by exploiting users called good reporters, who promptly explain what is happening at each moment throughout the event. The experimental results indicated that our new technique generated more comprehensive updates than other methods presented in previous work.