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Journal of Computing in Higher Education

Erschienen in:

04.12.2017

An application of corresponding fields model for understanding exclusion in online social networks

verfasst von: Salih Bardakcı

Erschienen in: Journal of Computing in Higher Education | Ausgabe 2/2018

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Abstract

This study explores the perception of exclusion in online social networks by synthesizing the Corresponding Fields Model (Helsper in Commun Theory 22(4):403–426, 2012). The predictors in the model, including access barriers, insecurity, usage competencies, and cultural mismatch, was empirically tested based on data from 480 undergraduate online social networks users in Turkey. Structural equation modeling was employed to assess the association between the predictors and the perceived exclusion in online social networks. The results indicated that access barriers, insecurity, and cultural mismatch were significant predictors of the perception of exclusion in online social networks, while usage competencies had not a significant influence. Perception of exclusion was explained substantially by insecurity, followed by cultural mismatch and access barriers.

Vorheriger Artikel Comparative effect of project-based learning and electronic project-based learning on the development and sustained development of english idiom knowledge

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Titel: An application of corresponding fields model for understanding exclusion in online social networks
verfasst von: Salih Bardakcı
Publikationsdatum: 04.12.2017
Verlag: Springer US
Erschienen in: Journal of Computing in Higher Education / Ausgabe 2/2018
Print ISSN: 1042-1726
Elektronische ISSN: 1867-1233
DOI: https://doi.org/10.1007/s12528-017-9162-0

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