Skip to main content

Advertisement

Log in

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

  • Published:
Journal of Computing in Higher Education Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Agag, G., & El-Masry, A. (2016). Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust. Computers in Human Behavior, 60, 97–111.

    Article  Google Scholar 

  • Anderson, B. (2007). Social capital, quality of life and ICTs. In B. Anderson, M. Brynin, J. Gershuny, & Y. Raban (Eds.), Information and communication technologies in society: E-living and digital Europe (pp. 163–174). Oxford, England: Routledge.

    Google Scholar 

  • Bargh, J. A., & McKenna, K. Y. A. (2004). The internet and social life. Annual Review of Psychology, 55, 573–590.

    Article  Google Scholar 

  • Barreiro-Gen, M., & Novo-Corti, I. (2015). Collaborative learning in environments with restricted access to the internet: Policies to bridge the digital divide and exclusion in prisons through the development of the skills of inmates. Computers in Human Behavior, 51, 1172–1176.

    Article  Google Scholar 

  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.

    Article  Google Scholar 

  • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness-of-fit in the analysis of covariance structures. Psychological Bulletin, 88, 588–606.

    Article  Google Scholar 

  • Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological Methods & Research, 17, 303–316.

    Article  Google Scholar 

  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: The Guilford Press.

  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In: K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Beverly Hills, CA: Sage.

  • Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd edition). MA: Routledge.

  • Chen, W., & Lee, K.-H. (2014). More than search? Informational and participatory e-health behaviors. Computers in Human Behavior, 30, 103–109.

    Article  Google Scholar 

  • Chen, W., Looi, C., & Tan, S. (2010). What do students do in a F2F CSCL classroom? The optimization of multiple communication modes. Computers & Education, 55, 1159–1170.

    Article  Google Scholar 

  • Cheung, M. K., Chiu, P.-Y., & Lee, M. K. O. (2011). Online social networks: Why do students use Facebook? Computers in Human Behavior, 27, 1337–1343.

    Article  Google Scholar 

  • Chiou, W.-B., Lee, C.-C., & Liao, D.-C. (2015). Facebook effects on social distress: Priming with online social networking thoughts can alter the perceived distress due to social exclusion. Computers in Human Behavior, 49, 230–236.

    Article  Google Scholar 

  • Chu, S. K. W., Zhang, Y., Chen, K., Chan, C. K., Lee, C. W. Y., Zou, E., et al. (2017). The effectiveness of wikis for project-based learning in different disciplines in higher education. Internet and Higher Education, 33, 49–60.

    Article  Google Scholar 

  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2013). Multivariate statistics for social sciences [In Turkish, Sosyal bilimler için çok değişkenli istatistik]. Ankara: Pegem A Yayıncılık.

    Google Scholar 

  • Correa, T., Hinsley, A. W., & de Zúñiga, H. G. (2010). Who interacts on the web? The intersection of users’ personality and social media use. Computers in Human Behavior, 26, 247–253.

    Article  Google Scholar 

  • De Wever, B., Keer, H. V., Schellens, T., & Valcke, M. (2011). Assessing collaboration in wiki: The reliability of university students’ peer assessment. Internet and Higher Education, 14(4), 201–206.

    Article  Google Scholar 

  • Donkor, F. (2011). Assessment of learner acceptance and satisfaction with video-based instructional materials for teaching practical skills at a distance. The International Review of Research in Open and Distance Learning, 12(5), 74–92.

    Google Scholar 

  • Eid, M. I. M., & Al-Jabri, I. M. (2016). Social networking, knowledge sharing, and student learning: The case of university students. Computers & Education, 99, 14–27.

    Article  Google Scholar 

  • El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the unified theory of acceptance and use of technology 2 (UTAUT2). Educational Technology Research and Development. https://doi.org/10.1007/s11423-016-9508-8.

    Google Scholar 

  • Escobar-Rodríguez, T., Carvajal-Trujillo, E., & Monge-Lozano, P. (2014). Factors that influence the perceived advantages and relevance of Facebook as a learning tool: An extension of the UTAUT. Australasian Journal of Educational Technology, 30(2), 136–151.

    Article  Google Scholar 

  • Eynon, R., & Helsper, E. (2010). Adults learning online: digital choice and/or digital exclusion. New Media & Society, 13(4), 534–551.

    Article  Google Scholar 

  • Fraenkel, J. R & Wallen, N. E (2009). How to design and evaluate research in education (7th ed). New York. McGraw-Hill.

  • Hair, J., Black, B., Babin, B., Anderson, R., & Tatham, R. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Prentice-Hall.

    Google Scholar 

  • Halic, O., Lee, D., Paulus, T., & Spence, M. (2010). To blog or not to blog: Student perceptions of blog effectiveness for learning in a college-level course. Internet and Higher Education, 13(4), 206–213.

    Article  Google Scholar 

  • Helsper, E. J. (2012). A corresponding fields model for the links between social and digital exclusion. Communication Theory, 22(4), 403–426.

    Article  Google Scholar 

  • Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind intercultural cooperation and its importance for survival. NY: McGraw Hill Publishing.

    Google Scholar 

  • Houghton, D. J., & Joinson, A. N. (2010). Privacy, social network sites, and social relations. Journal of Technology in Human Services, 28(1), 74–94.

    Article  Google Scholar 

  • Hoyle, R. H. (1995). Structural equation modeling: concepts, ıssues, and application. London: Sage.

  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.

    Article  Google Scholar 

  • Jackson, L. A., von Eye, A., Biocca, F. A., Barbatsis, G., Zhao, Y., & Fitzgerald, H. E. (2006). Does home internet use influence the academic performance of low-income children? Developmental Psychology, 42(3), 429–435.

    Article  Google Scholar 

  • Jonassen, D. H., & Known, H. I. (2001). Communication patterns in the computer-mediated and face to-face group problem solving. Educational Technology Research and Development, 49, 35–51.

    Article  Google Scholar 

  • Joy, S., & Kolb, D. A. (2009). Are there cultural differences in learning styles? International Journal of Intercultural Relations, 33(1), 69–85.

    Article  Google Scholar 

  • Kabilan, M. K., Ahmad, N., & Abidin, M. J. Z. (2010). Facebook: An online environment for learning of English in institutions of higher education? Internet and Higher Education, 13(4), 179–187.

    Article  Google Scholar 

  • Kang, H., & Chang, B. (2016). Examining culture’s impact on the learning behaviors of international students from Confucius culture studying in Western online learning context. Journal of International Studies, 6(3), 779–797.

    Google Scholar 

  • Kanuka, H., & Anderson, T. (1998). Online interchange, discord, and knowledge construction. Journal of Distance Education, 13(1), 57–74.

    Google Scholar 

  • Kaya, T., & Bicen, H. (2016). The effects of social media on students’ behaviors; Facebook as a case study. Computers in Human Behavior, 59, 374–379.

    Article  Google Scholar 

  • Kear, K., Woodthorpe, J., Robertson, S., & Hutchison, M. (2010). From forums to wikis: Perspectives on tools for collaboration. Internet and Higher Education, 13(4), 218–225.

    Article  Google Scholar 

  • Kline, P. (2000). An easy guide to factor analysis (4th ed.). New York: Routledge.

    Google Scholar 

  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: The Guilford Press.

    Google Scholar 

  • Kline, R. B. (2010). Principles and practice of structural equation modelling (3rd ed.). New York: Guilford Press.

    Google Scholar 

  • Lackovic, N., Kerry, R., Lowe, R., & Lowe, T. (2017). Being knowledge, power and profession subordinates: Students’ perceptions of Twitter for learning. Internet and Higher Education, 33, 41–48.

    Article  Google Scholar 

  • Lecluijze, S. E., de Haan, M., & Ünlüsoy, A. (2015). What online networks offer: Online network compositions and online learning experiences of three ethnic groups. International Journal of Higher Education, 4(3), 68–81.

    Article  Google Scholar 

  • Lee, J., & Bonk, C. J. (2016). Social network analysis of peer relationships and online interactions in a blended class using blogs. Internet and Higher Education, 28, 35–44.

    Article  Google Scholar 

  • Liao, Y.-W., Haung, Y.-M., Chen, H.-S., & Haung, S.-H. (2015). Exploring the antecedents of collaborative learning performance over social networking sites in a ubiquitous learning context. Computers in Human Behavior, 43, 313–323.

    Article  Google Scholar 

  • Livingstone, S., & Helsper, E. (2007). Gradations in digital inclusion: Children, young people and the digital divide. New media & Society, 9(4), 671–696.

    Article  Google Scholar 

  • Lu, J., Yang, J., & Yu, C.-H. (2013). Is social capital effective for online learning?. Information & Management, 50(7), 507–522.

    Article  Google Scholar 

  • MacCallum, R. C., & Hong, S. (1997). Power analysis in covariance structure modeling using GFI and AGFI. Multivariate Behavioral Research, 32(2), 193–210.

    Article  Google Scholar 

  • MacCallum, R. C., Widaman, K. F., Preacher, K., & Hong, S. (2001). Sample size in factor analysis: The role of model error. Multivariate Behavioral Research, 36, 611–637.

    Article  Google Scholar 

  • Marsh, H. W., Balla, J. R., & McDonald, R. P. (1988). Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological Bulletin, 103, 391–410.

    Article  Google Scholar 

  • Mazman, S. G., & Usluel, Y. K. (2010). Modeling educational usage of facebook. Computers & Education, 55(2), 444–453.

    Article  Google Scholar 

  • Mazzolini, M., & Maddison, S. (2003). Sage, guide, or ghost? The effect of instructor intervention on student participation in online discussion forums. Computers & Education, 40(3), 237–253.

    Article  Google Scholar 

  • Mohamed, N., & Ahmad, I. H. (2012). Information privacy concerns, antecedents and privacy measure use in social networking sites: Evidence from Malaysia. Computers in Human Behavior, 28, 2366–2375.

    Article  Google Scholar 

  • Mualik, S. A., James, L. R., Van Alstine, J., Bennett, N., Lin, S., & Stilwel, C. D. (1989). Evaluation of goodness of fit Indices for structural equation models. Psychological Bulletin, 105(3), 430–445.

    Article  Google Scholar 

  • Mumtaz, S. (2001). Children's enjoyment and perception of computer use in the home and the school. Computers & Education, 36(4), 347–362.

    Article  Google Scholar 

  • Osman, G., & Koh, J. H. L. (2012). Understanding management students’ reflective practice through blogging. Internet and Higher Education, 16, 23–31.

    Article  Google Scholar 

  • Pardamean, B., & Susanto, M. (2012). Assessing user acceptance toward blog technology using the UTAUT model. International Journal of Mathematics and Computers in Simulation, 6(1), 203–212.

    Google Scholar 

  • Piwek, L., & Joinson, A. (2016). “What do they snapchat about?” Patterns of use in time-limited instant messaging service. Computers in Human Behavior, 54, 358–367.

    Article  Google Scholar 

  • Polat, R. K. (2012). Digital exclusion in Turkey: A policy perspective. Government Information Quarterly, 29, 589–596.

    Article  Google Scholar 

  • Rohatgi, A., Scherer, R., & Hatlevik, O. V. (2016). The role of ICT self-efficacy for students’ ICT use and their achievement in a computer and information literacy test. Computers & Education, 102, 103–116.

    Article  Google Scholar 

  • Sadykova, G. (2014). Mediating knowledge through peer-to-peer interaction in a multicultural online learning environment: A case study of international students in the US. The International Review of Research in Open and Distributed Learning, 15(3), 24–49.

    Article  Google Scholar 

  • Sanchez, I., & Gunawardena, C. N. (1998). Understanding and supporting the culturally diverse distance learner. In C. C. Gibson (Ed.), Distance learners in higher education (pp. 47–64). Madison, WI: Atwood Publishing.

    Google Scholar 

  • Schwarz, B., & Caduri, G. (2016). Novelties in the use of social networks by leading teachers in their classes. Computers & Education, 102, 35–51.

    Article  Google Scholar 

  • Steiger, J. H. (1989). Causal modeling: A supplelnentary module for SYSTAT and SYGRAPH. Evanston, 1L: SYSTAT.

  • Steinfield, C., Ellison, N. B., & Lampe, C. (2008). Social capital, self-esteem, and use of online social network sites: A longitudinal analysis. Journal of Applied Developmental Psychology, 29, 434–445.

    Article  Google Scholar 

  • Stepanyan, K., Mather, R., & Dalrymple, R. (2014). Culture, role and group work: A social network analysis perspective on an online collaborative course. British Journal of Educational Technology, 45(4), 676–693.

    Article  Google Scholar 

  • Stutzman, F., Capra, R., & Thompson, J. (2011). Factors mediating disclosure in social network sites. Computers in Human Behavior, 27, 590–598.

    Article  Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston: Pearson Education.

    Google Scholar 

  • Tang, Y., & Hew, K. F. (2017). Using twitter for education: Beneficial or simply a waste of time? Computers & Education, 106, 97–118.

    Article  Google Scholar 

  • Top, E., Yukselturk, E., & Inan, F. A. (2010). Reconsidering usage of blogging in preservice teacher education courses. Internet and Higher Education, 13(4), 214–217.

    Article  Google Scholar 

  • van Dijk, J. A. G. M. (2005). The deepening divide: Inequality in the information society. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Veletsianos, G., & Kimmons, R. (2016). Scholars in an increasingly open and digital world: How do education professors and students use Twitter? Internet and Higher Education, 30, 1–10.

    Article  Google Scholar 

  • Vidaman, K. F., & Thompson, J. S. (2003). On specifying the null model for ıncremental fit ındices in structural equation modeling. Psychological Methods, 8(1), 16–37.

    Article  Google Scholar 

  • Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, Massachusetts, London, England: Harvard University Press.

    Google Scholar 

  • Wang, Y., Min, Q., & Han, S. (2016). Understanding the effects of trust and risk on individual behavior toward social media platforms: A meta-analysis of the empirical evidence. Computers in Human Behavior, 56, 34–44.

    Article  Google Scholar 

  • Watling, S. (2011). Digital exclusion: Coming out from behind closed doors. Disability & Society, 26(4), 491–495.

    Article  Google Scholar 

  • Westbrook, T. P. (2014). Global contexts for learning: Exploring the relationship between low-context online and high-context learners. Christian Higher Education, 13(4), 281–294.

    Article  Google Scholar 

  • Yang, D., Olesova, L., & Richardson, J. C. (2010). Impact of cultural differences on students’ participation, communication, and learning in an online learning environment. Journal of Educational Computing Research, 43(2), 165–182.

    Article  Google Scholar 

  • Yeh, Y. (2010). Analyzing online behaviors, roles and learning communities via online discussions. Educational Technology & Society, 13(1), 140–151.

    Google Scholar 

  • Yueh, H. P., Huang, J. Y., & Chang, C. (2015). Exploring factors affecting students’ continued Wiki use for individual and collaborative learning: An extended UTAUT perspective. Australasian Journal of Educational Technology, 31(1), 16–31.

    Article  Google Scholar 

  • Zhang, Y. (2013). Power distance in online learning: Experience of Chinese learners in US higher education. The International Review of Research in Open and Distributed, 14(4), 238–254.

    Google Scholar 

  • Zillien, N., & Hargittai, E. (2009). Digital distinction: Status-specific types of internet usage. Social Science Quarterly, 90(2), 274–291.

    Article  Google Scholar 

Download references

Funding

This study was not funded by any organization or institution.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Salih Bardakcı.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Appendix A

Appendix A

Perceived exclusion in online social networks

İnsanlar sosyal ağlarda benden kaçıyor./People run away from me on online social networks

Sosyal ağlarda yaptığım paylaşımlar yeterince yorum almıyor./The shares I make on online social networks do not get enough comments

İnsanlar sosyal ağlarda beni görmezden geliyor./People ignores me on online social networks

Sosyal ağlarda arkadaşlarım beni önemsemiyor./My friends in online social networks do not care about me

Sosyal ağlarda iğneleyici ifadelere ya da sözlü sataşmalara maruz kalırım./I exposure to sarcastic phrases or verbal annoyances in online social networks

Sosyal ağlarda ileriye sürdüğüm fikirler yeterince dikkate alınmıyor./The ideas I suggest in online social networks are not taken into account sufficiently

Sosyal ağlarda özel günlerime yeterince ilgi gösterilmiyor./People do not pay enough attention to my special days in online social networks

Sosyal ağlarda insanlar beni yeterince anlamıyor./People in online social networks do not understand me enough

Sosyal ağlarda arkadaşlarım benim hakkımda kötü konuşurlar./My friends talk badly about me on online social networks

Access barriers

Ailem/çevremdekiler sosyal ağlara bağlanmamı engelliyor./My parents do not permit to access to online social networks

Çalıştığım yerde/okulda sosyal ağlara erişime izin verilmiyor./I am not allowed to access online social networks in the workplace or in the school

İnternet bağlantım yetersiz olduğu için sosyal ağlara istediğim sıklıkta giremiyorum./Due to insufficient internet connection, I cannot get into online social networks as often as I wish

Sosyal ağlarda vakit geçirmek için yeterince zaman bulamıyorum./I do not have enough time to spend on online social networks

Insecurity

Bilgilerimin, sosyal ağlarda arkadaş listem dışında takip edilmesinin engellenebileceğinden emin değilim./I am not sure whether my information can be prevented from being followed on online social networks outside of my friends list

Paylaşmak istediğim bazı şeylerin (fikir, resim, video vb.) sosyal ağ yöneticileri tarafından engelleneceğini düşünüyorum./I think some of the things I want to share (ideas, pictures, videos, etc.) will be blocked by the admin of the online social network

Sosyal ağların ne amaçla geliştirildiği açık değil./It is not clear for what purposes online social networks were developed

Sosyal ağlara eklediğimiz bilgiler farklı amaçlara hizmet ediyor./The information we share on online social networks serves for purposes that I do not know

Sosyal ağlarda mahremiyetimin tehdit altında olduğunu hissediyorum./I feel that my privacy is threatened in online social networks

Usage competencies

Yeni bir cihaz almayı düşündüğümde sosyal ağ desteğini dikkate alırım./Before I choose to buy a new device, I consider whether it supports online social networking services or not

Sosyal ağlarda kendimi ifade etmekte zorlanmam./I do not have difficulty in expressing myself in online social networks

Sosyal ağlar aracılığıyla eski arkadaşlarımı bulmaya çalışırım./I try to find my old friends through online social networks

Sosyal ağlar aracılığıyla yeni arkadaşlıklar kurabiliyorum./I can connect with new friendships through online social networks

Sosyal ağlarda etkin bir paylaşımcıyım./I am an active shareholder in online social networks

Sosyal ağlarda yazı, resim ve video paylaşmayı biliyorum./I know how to share texts, pictures and videos on online social networks

Cultural mismatch

Sosyal ağlardaki özel paylaşımlar toplumsal değerlerimizle uyuşmuyor./Private shares in online social networks are not appropriate for our social values

Sosyal ağlarda olumsuz davranışlar yeterince engellenmiyor./Negative behavior is not adequately prevented in online social networks

Özel yaşamlarını sosyal ağlarda paylaşan insanları anlayamıyorum./I cannot understand people who share their private lives on online social networks

Sosyal ağlarda yapılan paylaşımların çoğu benim yetiştiğim kültüre uygun değil./Most of the sharing on online social networks is not relevant for the culture of my own./kabul görmez

Sosyal ağlarda tanışıp duygusal ilişkiler geliştiren insanları anlamakta zorlanıyorum./I have difficulty in understanding people who have met on online social networks and developed emotional relationships

Sosyal ağların paylaşım kuralları, başkalarının özel hayatlarına saygı konusunda hassas değil./The rules of online social networks are not sensitive to respect for the private lives

  1. *Note that the items were in Turkish, and the language validity for English was not established

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bardakcı, S. An application of corresponding fields model for understanding exclusion in online social networks. J Comput High Educ 30, 386–405 (2018). https://doi.org/10.1007/s12528-017-9162-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12528-017-9162-0

Keywords

Navigation