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“Heterogeneous couplings” : operationalizing network perspectives to study science‐society interactions through social media metrics
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Costas, Rodrigo, Rijcke, Sarah and Marres, Noortje (2021) “Heterogeneous couplings” : operationalizing network perspectives to study science‐society interactions through social media metrics. Journal of the Association for Information Science and Technology, 72 (5). pp. 595-610. doi:10.1002/asi.24427 ISSN 2330-1635.
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WRAP-Heterogeneous-couplings-operationalizing-network-perspectives-to-study-science‐society-interactions-through-social-media-metrics-Marres-2021.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (1792Kb) | Preview |
Official URL: http://dx.doi.org/10.1002/asi.24427
Abstract
Social media metrics have a genuine networked nature, reflecting the networking characteristics of the social media platform from where they are derived. This networked nature has been relatively less explored in the literature on altmetrics, although new network-level approaches are starting to appear. A general conceptualization of the role of social media networks in science communication, and particularly of social media as a specific type of interface between science and society, is still missing. The aim of this paper is to provide a conceptual framework for appraising interactions between science and society in multiple directions, in what we call heterogeneous couplings. Heterogeneous couplings are conceptualized as the co-occurrence of science and non-science objects, actors, and interactions in online media environments. This conceptualization provides a common framework to study the interactions between science and non-science actors as captured via online and social media platforms. The conceptualization of heterogeneous couplings opens wider opportunities for the development of network applications and analyses of the interactions between societal and scholarly entities in social media environments, paving the way toward more advanced forms of altmetrics, social (media) studies of science, and the conceptualization and operationalization of more advanced science-society studies.
Item Type: | Journal Article | ||||||||||
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Subjects: | H Social Sciences > HF Commerce H Social Sciences > HM Sociology |
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Divisions: | Faculty of Social Sciences > Centre for Interdisciplinary Methodologies | ||||||||||
Library of Congress Subject Headings (LCSH): | Social media, Internet marketing, Webometrics, Research -- Evaluation -- Statistical methods | ||||||||||
Journal or Publication Title: | Journal of the Association for Information Science and Technology | ||||||||||
Publisher: | John Wiley & Sons, Inc. | ||||||||||
ISSN: | 2330-1635 | ||||||||||
Official Date: | 10 April 2021 | ||||||||||
Dates: |
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Volume: | 72 | ||||||||||
Number: | 5 | ||||||||||
Page Range: | pp. 595-610 | ||||||||||
DOI: | 10.1002/asi.24427 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||
Date of first compliant deposit: | 22 August 2022 | ||||||||||
Date of first compliant Open Access: | 25 August 2022 | ||||||||||
RIOXX Funder/Project Grant: |
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