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  1. ; ; (, Proc Computational + Journalism Symposium)
    null (Ed.)
    Computational news discovery refers to the use of algorithms to orient editorial attention to potentially newsworthy events or information prior to publication. In this paper we describe the design, development, and initial evaluation of a computational news discovery tool, called Lead Locator, which is geared towards supplementing national politics reporting by suggesting potentially interesting locations to report on. Based on massive amounts of data from a national voter file, Lead Locator ranks counties based on statistical properties such as their extremity in the distribution of a variable of interest (e.g. voter turnout) as well as their political relevance in terms of shifts in voting patterns. It then presents an automatically generated tip sheet of potentially interesting locations that reporters can interactively browse and search to help inform their reporting ideas. 
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