AAAI Publications, Twelfth International AAAI Conference on Web and Social Media

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Automatic Story Evolution Wikification from Social Data
Omar Alonso, Vasileios Kandylas, Serge Eric Tremblay

Last modified: 2018-06-15

Abstract


We present the generation of a new and dynamic data asset that captures the evolution of a story from different perspectives. In contrast to news articles that are ranked by relevance and freshness in a search engine or a static Wikipedia article that provides an overview of the event or topic, our solution consists of the automatic construction of a wiki-like document that highlights the salient items of a topic as it evolves over time, with related pivots that allow the user to explore related stories. We demonstrate the effectiveness of our approach by processing a dataset comprising millions of English language tweets generated over a one year period.

Keywords


Story evolution, Twitter, Wikification,

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