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Local news has become increasingly important in the news industry due to itsvarious benefits. It offers local audiences information that helps themparticipate in their communities and interests. It also serves as a reliablesource of factual reporting that can prevent misinformation. Moreover, it caninfluence national audiences as some local stories may have wider implicationsfor politics, environment or crime. Hence, detecting the exact geolocation andimpact scope of local news is crucial for news recommendation systems. Thereare two fundamental things required in this process, (1) classify whether anarticle belongs to local news, and (2) identify the geolocation of the articleand its scope of influence to recommend it to appropriate users. In this paper,we focus on the second step and propose (1) an efficient approach to determinethe location and radius of local news articles, (2) a method to reconcile theuser's location with the article's location, and (3) a metric to evaluate thequality of the local news feed. We demonstrate that our technique is scalableand effective in serving hyperlocal news to users worldwide.

Local Life: Stay Informed Around You, A Scalable Geoparsing and Geotagging Approach to Serve Local News Worldwide