Digital Exclusion in Poland and South Korea - A Comparative Analysis of the Phenomenon

• Authors: Stanisław Juszczyk , Suwan Kim

Abstracts

EN

Comparative empirical studies of digital exclusion have been conducted in Poland and South Korea. Surveys of students (including doctoral candidates) and in-depth interviews with academic teachers at selected universities and fields of study were used (N=135). The average differences in the opinions of Polish and Korean students are not statistically significant at the level of p<0.05. Therefore, an independent sample t-test was performed. The most common exclusion variables are objective (or technological) factors, whereas a lesser role is played by subjective (or psychological and sociological) factors.

Keywords

EN

Poland; South Korea; digital exclusion; post-digital society; algorithmization of social life

• Publisher: Wydawnictwo Adam Marszałek
• Journal: The New Educational Review
• Year: 2022
• Volume: 68
• Pages: 32-47

Dates

published

2022

Contributors

author

Stanisław Juszczyk

• University of Silesia

• https://orcid.org/0000000277756303

author

Suwan Kim

• Hankook University of Foreign Studies, Seoul

• https://orcid.org/0000000260625008

References

• Brown, R., & Whittle, R. (2020). Algorithms, blockchains, cryptocurrency: Implications for the Future of the Workplace. Emerald Publishing Limited.
• Chen, W. (2013). The implications of social for the digital divides in America. The Information Society, 29, 13-25.
• Corrocher, N., & Ordanini, A. (2002). Measuring the digital divide: a framework for the analysis of cross-country differences. J. Information Technology, 17, 9-19.
• Gunkel, D. J. (2003). Second Thoughts: Toward a Critique of the Digital Divide. New Media and Society, 5(4), 499-522.
• Han-Wei, Liu, Ching-Fu Lin, & Yu-Jie, Chen. (2019). Beyond State v. Loomis: Artificial Intelligence, Government Algorithmization, and Accountability. International Journal of Law and Information Technology. https://ssrn.com/abstract=3313916
• Helmond, A. (2013, November 16). The Algorithmization of the Hyperlink. Computational Culture, 3.
• Helsper, E. J. (2012). A corresponding fields model of digital inclusion. Communication Theory, 22(4), 403-426. DOI: 10.1111/j.1468-2885.2012.01416.x
• Helsper, E. J. (2017). The social relativity of Digital exclusion: applying relative deprivation theory to Digital inequalities. Communication Theory. DOI: 10.111/comt.12110
• Janmaat, J. G. (2013). Subjective Inequality: A Review of International Comparative Studies on People’s Views about Inequality. European Journal of Sociology, 54(3), 357-389. DOI: 10.1017/S0003975613000209
• Miczka, T. (2019). Specifics of Algorithmization in Data Culture. European Journal of Engineering and Formal Sciences, 3(3), 13-21.
• Juszczyk, S., & Kim, S. (2020). Distance Learning in the Polish and Korean Universities During COVID-19 Pandemic. The New Educational Review, 62(4), 115-127. DOI: 10.15804/tner.2020.62.4.10
• OECD. (2011). Understanding the digital divide, OECD Digital Economy Papers, 49. OECD Publishing.
• Picciano, A. G. (2004). Educational Research Primer. Continuum.
• Pick, J., & Sarkar, A. (2016). Theories of the Digital Divide: Critical comparison. 49th Hawaii International Conference on System Sciences, Conference Proceedings Vol. 1, 3888-3897. DOI:10.1109/HICSS.2016.484
• Reisdorf, B., & Groselij, D. (2015). Internet (Non-)Use types and motivational access: Implications for digital inequalities research. New Media & Society, 1-20. DOI: 10.1177/1461444815621539
• Robinson, L., Cotton, S. R., Ono, H., Quan-Haase, A., Mesch, G., Chen, W., Schulz, J., Hale, T. M., & Stern, M. J. (2015). Digital inequalities and why they matter. Information Communication & Society, 18(5), 569-582. DOI: 10.1080/1369118X.2015.10112532
• Ruggiero, T. E. (2000). Uses and Gratifications Theory in the 21st Century. MASS COMMUNICATION & SOCIETY, 3(1), 3-37.
• Schuilenberg, M., & Peeters, R. (Eds.). (2022). The Algorithmic Society: Technology, Power, and Knowledge. Routledge.
• Skaletsky, M., Soremekun, O., & Galliers, R. D. (2014). The Changing - and Unchanging - Face of the Digital Divide: An Application of Kohonen Self-organizing Maps. Information Technology for Development, 29(3), 218-250.
• Śmiałowski, T. (2019). Assessment of digital exclusion of Polish Households. Quantitative Methods in Economics, XX(1), 54-61.
• Van Deursen, A. J. A. M., & Helsper, E. J. (2015). The Third-Level Digital Divide: Who Benefits Most from Being Online? In L. Robinson, S. R. Cotten, J. Schulz, T. M. Hale, & A. Williams (Eds.), Communication and Information Technologies Annual (Studies in Media and Communications), 10, 29-52. DOI: 10.1108/S2050-206020150000010002
• Van Deursen, A. J. A. M., & Van Dijk, J. A. G. M. (2015). A Multifaceted Model of Internet Access to Understand Digital Divides: An Empirical Investigation. The Information Society, 31(4). DOI: 10.1080/01972243.2015.1069770
• Van Dijk, J. A. G. M. (2005). The deepening divide: Inequality in the Information Society. Sage.
• Van Dijk, J. A. G. M. (2006). Digital divide research: achievements and shortcomings. Poetics, 34(4-5), 221-235.
• Van Dijk, J. A. G. M., & Van Deursen, A. J. A. M. (2014). Digital Skills. Unlocking the Information Society. Palgrave Macmillan. DOI: 10.1057/9781137437037
• Warschauer, M. (2003). Technology and Social Inclusion: Rethinking the Digital Divide. MIT Press.

Identifiers

DOI

10.15804/tner.22.68.2.02

Biblioteka Nauki

2057073