Whoo.ly
Published 27 April 2013Open access
Yuheng Hu, Shelly D. Farnham, Andrés Monroy-Hernández
Citations48
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TL;DR
A web service that provides neighborhood-specific information based on Twitter posts that were automatically inferred to be hyperlocal, which automatically extracts and summarizes hyperlocal information about events, topics, people, and places from these Twitter posts.
Abstract
Social media systems promise powerful opportunities for people to connect to\ntimely, relevant information at the hyper local level. Yet, finding the\nmeaningful signal in noisy social media streams can be quite daunting to users.\nIn this paper, we present and evaluate Whoo.ly, a web service that provides\nneighborhood-specific information based on Twitter posts that were\nautomatically inferred to be hyperlocal. Whoo.ly automatically extracts and\nsummarizes hyperlocal information about events, topics, people, and places from\nthese Twitter posts. We provide an overview of our design goals with Whoo.ly\nand describe the system including the user interface and our unique event\ndetection and summarization algorithms. We tested the usefulness of the system\nas a tool for finding neighborhood information through a comprehensive user\nstudy. The outcome demonstrated that most participants found Whoo.ly easier to\nuse than Twitter and they would prefer it as a tool for exploring their\nneighborhoods.\n
Keywords
Social SciencesComputer SciencePhysics and Astronomy
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