BibSonomy now supports HTTPS. Switch to HTTPS.
@alexandriaproj

Exploring Long Running News Stories Using Wikipedia

, , , and . Proceedings of the ACM Web Science Conference, page 57:1--57:2. New York, NY, USA, ACM, (2015)

Abstract

A significant portion of today's news articles are part of long running stories. To better understand the context of these stories journalists, social scientists and other scholars use news collections to find temporal and topical insights. However these insights are devoid of user impressions, derived from click-through data and query logs, and are only reliable if the collection is complete and consistent. In this work we introduce the notion of combining user impressions from Wikipedia with news collection based insights for long running news story exploration and outline promising new research directions. We also demonstrate our initial attempts with a prototype system called NewsEX.

Links and resources

URL:
BibTeX key:
Singh:2015:ELR:2786451.2786489
search on:

Comments and Reviews  
(0)

There is no review or comment yet. You can write one!

Tags


Cite this publication