Towards a Classification of Participatory News Websites: Comparing heuristic and empirical types

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Sven Engesser - , Institute of Mass Communication and Media Research, University of Zurich (Author)

Abstract

Participatory news websites are a large, heterogeneous, and dynamic object of research which has been difficult to systematize scientifically. This paper presents an integrative instrument for classification and an evidence-based typology of participatory news websites. On the one hand, it extracts seven heuristic types from academic literature. On the other hand, it presents three empirical types which emerged as clusters from an analysis of 101 websites: Exclusive Thematic Dossiers, Commercial User Playgrounds, and Local Media Clippings. A comparison of the heuristic and empirical types shows that they are only partially congruent. It is concluded that the existing heuristic types should be relabeled in order to reflect reality more precisely. An Appendix to this paper is available at:http://dx.doi.org/10.1080/21670811.2013.841367

Details

Original languageEnglish
Pages (from-to)575-595
Number of pages21
JournalDigital Journalism
Volume2
Issue number4
Publication statusPublished - 2 Oct 2014
Peer-reviewedYes
Externally publishedYes

Keywords

Research priority areas of TU Dresden

ASJC Scopus subject areas

Keywords

  • classification, cluster analysis, participatory journalism, participatory news, typology