Automated journalism is the process by which computers select the stories consumers see, and the order in which they see them. Nearby location can make news stories seem more relevant to consumers (following Galtung and Ruge, 1965), but a more nuanced view of locational relevance than just a street address or zip code is required to drive the most compelling stories to consumers (such basic location information is deemed "lackluster" by Weiss (2014, p. 4)). What factors could be used to enrich a computer's definition of a consumer's location to deliver the most interesting stories him or her?