Skip to main content
Article thumbnail
Location of Repository

Finding News Curators in Twitter

By Janette Lehmann, Carlos Castillo, Mounia Lalmas and Ethan Zuckerman

Abstract

Users interact with online news in many ways, one of them being sharing content through online social networking sites such as Twitter. There is a small but important group of users that devote a substantial amount of effort and care to this activity. These users monitor a large variety of sources on a topic or around a story, carefully select interesting material on this topic, and disseminate it to an interested audience ranging from thousands to millions. These users are news curators, and are the main subject of study of this paper. We adopt the perspective of a journalist or news editor who wants to discover news curators among the audience engaged with a news site. We look at the users who shared a news story on Twitter and attempt to identify news curators who may provide more information related to that story. On this paper we describe how to find this specific class of curators, which we refer to as news story curators. Hence, we proceed to compute a set of features for each user, and demonstrate that they can be used to automatically find relevant curators among the audience of two large news organizations

Topics: journalism, digital curator, news story
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.1769
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.chato.cl/papers/leh... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.