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International Conference on Asian Digital Libraries

ICADL 2015: Digital Libraries: Providing Quality Information pp 190–196Cite as

Participatory Journalism, Blurred Boundaries: Introducing Theoretical IS Frameworks to Re-Orient Research Practices

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9469))

Abstract

Social media now plays a pivotal role in how broadcast media engages with their audiences. This paper contemplates the nature of our digital media culture, the diversity of actors involved and how the role of the journalist has evolved. The methodology includes examining the findings of a pilot research study investigating journalists’ information practices in the digital realm. Two theoretical frameworks from the discipline of Information Science are introduced to re-orient research practices. The findings reveal digital journalism facilitates richer and more expansive storytelling, with connectivity between experts, journalists and the public. The author posits that the citizen-informant is reconceptualised in the news milieu.

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References

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Author information

Authors and Affiliations

  1. University of Technology - Sydney, Ultimo, Australia

    Nora Martin

Authors
  1. Nora Martin
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Correspondence to Nora Martin .

Editor information

Editors and Affiliations

  1. Yonsei University, Seoul, Korea (Republic of)

    Robert B. Allen

  2. School of ITEE, University of Queensland, St. Lucia, Queensland, Australia

    Jane Hunter

  3. School of Library & Info Sci, Kent State University, KENT, Ohio, USA

    Marcia L. Zeng

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Martin, N. (2015). Participatory Journalism, Blurred Boundaries: Introducing Theoretical IS Frameworks to Re-Orient Research Practices. In: Allen, R., Hunter, J., Zeng, M. (eds) Digital Libraries: Providing Quality Information. ICADL 2015. Lecture Notes in Computer Science(), vol 9469. Springer, Cham. https://doi.org/10.1007/978-3-319-27974-9_19

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  • DOI: https://doi.org/10.1007/978-3-319-27974-9_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27973-2

  • Online ISBN: 978-3-319-27974-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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