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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Sven Engesser - , Institute of Mass Communication and Media Research, Universität Zürich (Autor:in)

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

OriginalspracheEnglisch
Seiten (von - bis)575-595
Seitenumfang21
FachzeitschriftDigital Journalism
Jahrgang2
Ausgabenummer4
PublikationsstatusVeröffentlicht - 2 Okt. 2014
Peer-Review-StatusJa
Extern publiziertJa

Schlagworte

Forschungsprofillinien der TU Dresden

ASJC Scopus Sachgebiete

Schlagwörter

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