“Heterogeneous couplings”: Operationalizing network perspectives to study science‐society interactions through social media metrics
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 app...
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Published in | Journal of the American Society for Information Science and Technology Vol. 72; no. 5; pp. 595 - 610 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.05.2021
Wiley Periodicals Inc |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | Funding information DST‐NRF Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy (SciSTIP) |
ISSN: | 2330-1635 2330-1643 |
DOI: | 10.1002/asi.24427 |