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Antecedents and learning outcomes of online news engagement

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  • Heather L. O'Brien

Abstract

User engagement (UE) is a quality of user experience characterized by the depth of an actor's cognitive, temporal, and/or emotional investment in an interaction with a digital system. Currently more art than science, UE has gained theoretical and methodological traction over the past decade, yet there is still a need to establish empirical links between UE and desired outcomes (e.g., learning, behavior change), and to understand the myriad user, system, contextual, and so on, factors that predict successful digital engagement. This paper focuses on the relationship between UE and media format as a potential antecedent, and the outcome of learning, operationalized as short‐term knowledge retention. Participants interacted with two human‐interest stories in one of four media formats: video, audio, narrative text, or transcript‐style text; short‐term knowledge retention was measured using post‐task multiple choice and short‐answer questions. It was anticipated that format would have a strong effect on UE, and that more engaged users would recall more information about the stories. However, these hypotheses were not fully supported, and the nature of the relationship between UE and learning was more nuanced than expected. This research has implications for the design of information systems and, more fundamentally, the impetus to make digital environments engaging.

Suggested Citation

  • Heather L. O'Brien, 2017. "Antecedents and learning outcomes of online news engagement," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2809-2820, December.
    • Handle: RePEc:bla:jinfst:v:68:y:2017:i:12:p:2809-2820
    DOI: 10.1002/asi.23854
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    References listed on IDEAS

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    1. Frans Sluis & Egon L. Broek & Richard J. Glassey & Elisabeth M. A. G. Dijk & Franciska M. G. Jong, 2014. "When complexity becomes interesting," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(7), pages 1478-1500, July.
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    6. Heather L. O'Brien & Elaine G. Toms, 2010. "The development and evaluation of a survey to measure user engagement," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(1), pages 50-69, January.
    7. Traci Hong, 2012. "Internet health search: When process complements goals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2283-2293, November.
    8. Heather L. O'Brien & Elaine G. Toms, 2008. "What is user engagement? A conceptual framework for defining user engagement with technology," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(6), pages 938-955, April.
    9. Mathew J. Wilson & Max L. Wilson, 2013. "A comparison of techniques for measuring sensemaking and learning within participant‐generated summaries," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 291-306, February.
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