Geo-spatial Domain Expertise in Microblogs

In this paper, we present a framework for describing a user's geo-spatial domain expertise in microblog settings. We investigate a novel way of casting the expertise problem by using points of interest POI as a possible categorization of expertise. To this end, we study a large-scale sample of geo-tagged tweets and model users' location tracks in order to gain insights into their daily activities and competencies. Based on a qualitative user study among active Twitter users, we present an initial exploration of domain expertise indicators on microblogging portals and design a classification scheme that is able to reliably identify domain experts.