Automatic Story Evolution Wikification from Social Data

Vol. 12 No. 1 (2018): Twelfth International AAAI Conference on Web and Social Media

Volume

Vol. 12 No. 1 (2018): Twelfth International AAAI Conference on Web and Social Media

Demonstration Papers

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.

10.1609/icwsm.v12i1.14994