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Exploring the User Base of Online Neighborhood Networks: Determinants of Online Neighborhood Network Membership and Uses

Exploring the User Base of Online Neighborhood Networks: Determinants of Online Neighborhood... This paper aims to determine the prevalence of the use of online neighborhood networks (ONNs) and explores which socio-demographic, socioeconomic status (SES), social integration, and media use determinants predict ONN membership and uses. Drawing on a stratified random sample (Ghent, Belgium), we found that over a third of the population are ONN members and that membership was mainly predicted by socio-demographic characteristics. Also, in contrast to prior research, our results show that ONNs are the local online territory of residents of lower SES, to whom these ONNs are a means of connecting with and capitalizing on neighborhood connections. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Urban Technology Taylor & Francis

Exploring the User Base of Online Neighborhood Networks: Determinants of Online Neighborhood Network Membership and Uses

Exploring the User Base of Online Neighborhood Networks: Determinants of Online Neighborhood Network Membership and Uses

Abstract

This paper aims to determine the prevalence of the use of online neighborhood networks (ONNs) and explores which socio-demographic, socioeconomic status (SES), social integration, and media use determinants predict ONN membership and uses. Drawing on a stratified random sample (Ghent, Belgium), we found that over a third of the population are ONN members and that membership was mainly predicted by socio-demographic characteristics. Also, in contrast to prior research, our results show that...
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Publisher
Taylor & Francis
Copyright
© 2022 The Society of Urban Technology
ISSN
1466-1853
eISSN
1063-0732
DOI
10.1080/10630732.2022.2100211
Publisher site
See Article on Publisher Site

Abstract

This paper aims to determine the prevalence of the use of online neighborhood networks (ONNs) and explores which socio-demographic, socioeconomic status (SES), social integration, and media use determinants predict ONN membership and uses. Drawing on a stratified random sample (Ghent, Belgium), we found that over a third of the population are ONN members and that membership was mainly predicted by socio-demographic characteristics. Also, in contrast to prior research, our results show that ONNs are the local online territory of residents of lower SES, to whom these ONNs are a means of connecting with and capitalizing on neighborhood connections.

Journal

Journal of Urban TechnologyTaylor & Francis

Published: Nov 3, 2022

Keywords: Online neighborhood networks; local social media; local social integration; socioeconomic status; Western-European

References