When a big news story breaks, Twitter goes crazy. Keepr tries to make sense of these periodic bursts by implementing natural language processing and social network analysis algorithms to surface topics, eyewitnesses, and amplifiers. A live demo will be followed by a discussion of the capabilities and limitations of computational newsgathering, along with reports of how it is being used in newsrooms.
Podcast: Hong Qu, “Keepr: Algorithm for Extracting Entities, Eyewitnesses and Amplifiers”
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