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Cited by 321

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

User engagement with online news: Conceptualizing interactivity and exploring the relationship between online news videos and user comments

Ksiazek, Thomas B, Peer, Limor, Lessard, Kevin·2016·New Media & Society

Abstract

With the emergence and rapid acceptance of online news come new and varied opportunities for user engagement with content, along with alternative metrics for capturing those behaviors. This study focuses on interactive engagement with online news videos. We propose a theoretical framework for conceptualizing user engagement on a continuum from exposure to interactivity. Furthermore, we make a distinction between user–content (e.g. commenting) and user–user (e.g. replying to another user’s comment) modes of interaction. We then explore publicly available measures of these concepts and test a series of hypotheses to explore commenting and conversational behaviors in response to YouTube news videos. We conclude by discussing the theoretical and practical implications for advancing our understanding of user engagement with online news.

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Metadata

Authors
Ksiazek, T. B., Peer, L., & Lessard, K.
Venue
New Media & Society
Published
2014-08-11
Volume
18
Issue
3
Pages
502-520
ISSN
  • 1461-4448 (ISSN-L)
  • 1461-7315
OpenAlex
W2006878426
Cited by
321
References
3
FWCI
34.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: User engagement with online news: Conceptualizing interactivity and exploring the relationship between online news videos and user comments. https://app.cochat.ai/papers/10.1177/1461444814545073
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Ksiazek, T. B., Peer, L., & Lessard, K. (2016). User engagement with online news: Conceptualizing interactivity and exploring the relationship between online news videos and user comments. New Media & Society. https://doi.org/10.1177/1461444814545073

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.