Unfolding the event landscape on twitter: Classification and exploration of user categories

Munmun De Choudhury*, Nicholas Diakopoulos, Mor Naaman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

62 Scopus citations

Abstract

Social media platforms such as Twitter garner significant attention from very large audiences in response to real-world events. Automatically establishing who is participating in information production or conversation around events can improve event content consumption, help expose the stakeholders in the event and their varied interests, and even help steer subsequent coverage of an event by journalists. In this paper, we take initial steps towards building an automatic classifier for user types on Twitter, focusing on three core user categories that are reflective of the information production and consumption processes around events: organizations, journalists/media bloggers, and ordinary individuals. Exploration of the user categories on a range of events shows distinctive characteristics in terms of the proportion of each user type, as well as differences in the nature of content each shared around the events.

Original languageEnglish (US)
Title of host publicationCSCW'12 - Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work
Pages241-244
Number of pages4
DOIs
StatePublished - Mar 19 2012
EventACM 2012 Conference on Computer Supported Cooperative Work, CSCW'12 - Seattle, WA, United States
Duration: Feb 11 2012Feb 15 2012

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Other

OtherACM 2012 Conference on Computer Supported Cooperative Work, CSCW'12
CountryUnited States
CitySeattle, WA
Period2/11/122/15/12

Keywords

  • events
  • social media
  • twitter
  • user classification

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

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