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This paper addresses the problem of identifying local experts in social media systems like Twitter. Local experts -- in contrast to general topic experts -- have specialized knowledge focused around a particular location, and are important for many applications including answering local information needs and interacting with community experts. And yet(More)
We address the problem of identifying local experts on Twitter. Specifically, we propose a local expertise framework that integrates both users' topical expertise and their local authority by leveraging over 15 million geo-tagged Twitter lists. We evaluate the proposed approach across 16 queries coupled with over 2,000 individual judgments from Amazon(More)
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