Paper: Separating Fact from Fear: Tracking Flu Infections on Twitter

ACL ID N13-1097
Title Separating Fact from Fear: Tracking Flu Infections on Twitter
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

Twitter has been shown to be a fast and reli- able method for disease surveillance of com- mon illnesses like influenza. However, previ- ous work has relied on simple content anal- ysis, which conflates flu tweets that report infection with those that express concerned awareness of the flu. By discriminating these categories, as well as tweets about the authors versus about others, we demonstrate signifi- cant improvements on influenza surveillance using Twitter.