Transient news crowds in social media

Janette Lehmann, Carlos Castillo, Mounia Lalmas, Ethan Zuckerman

Research output: Contribution to conferencePaper

Abstract

Users increasingly inform themselves of the latest news through online news services. This is further accentuated by the increasingly seamless integration of social network platforms such as Twitter and Facebook into news websites, allowing easy content sharing and distribution. This makes online social network platforms of particular interest to news providers. For instance, online news producers use Twitter to disseminate articles published on their website, to assess the popularity of their contents, but also as an information source to be used on itself. In this paper, we focus on Twitter as a medium to help journalists and news editors rapidly detect follow-up stories to the articles they publish. We propose to do so by leveraging "transient news crowds", which are loosely-coupled groups that appear in Twitter around a particular news item, and where transient here reflects the fleeting nature of news. We define transient news crowds on Twitter, study their characteristics, and investigate how their characteristics can be used to discover related news. We validate our approach using Twitter data around news stories published by the BBC and Al Jazeera.

Original languageEnglish
Pages351-360
Number of pages10
Publication statusPublished - 1 Jan 2013
Event7th International AAAI Conference on Weblogs and Social Media, ICWSM 2013 - Cambridge, MA, United States
Duration: 8 Jul 201311 Jul 2013

Other

Other7th International AAAI Conference on Weblogs and Social Media, ICWSM 2013
CountryUnited States
CityCambridge, MA
Period8/7/1311/7/13

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ASJC Scopus subject areas

  • Media Technology

Cite this

Lehmann, J., Castillo, C., Lalmas, M., & Zuckerman, E. (2013). Transient news crowds in social media. 351-360. Paper presented at 7th International AAAI Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, MA, United States.