Interactive features of online newspapers: Identifying patterns and predicting use of engaged readers

Research output: Contribution to journalArticlepeer-review

177 Scopus citations


This study seeks to identify 1) categories of interactivity, which are promoted through different types of interactive features, 2) patterns of online newspaper readers' uses of interactive features, and 3) factors, if any, that predict the use of different types of interactive features. Based on an online survey of 542 respondents, four categories of interactive features were identified. Findings show that interactive features are generally used infrequently, especially the features that facilitate human-to-human communication and the features that allow audiences to express their views. Regression analyses show that different user characteristics and backgrounds predict the use of specific types of interactive features. This study illustrates that news organizations need not worry about applying all types of interactive features to engage their readers as the features serve distinct functions. Instead, news organizations should focus on building credibility and may seek to identify their online news audiences and then subsequently provide interactive features accordingly.

Original languageEnglish
Pages (from-to)658-679
Number of pages22
JournalJournal of Computer-Mediated Communication
Issue number3
StatePublished - Apr 2008

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications


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