Proceedings of the World Conference on Governance and Social Sciences (WCGSS 2023)

<Previous Article In Volume
Next Article In Volume>

Bibliometric Analysis: the Graphic Growth of Digital Literacy Research on the Scopus Database in Southeast Asia

Authors
Nosakros Arya1, *, Fauzan Hidayatullah1, Zhahirah Indrawati Zainuddin2, Sartika Sari Wardanhi Dh Pasha1
1Department of Communication Science, Faculty of Social and Political Sciences, Hasanuddin University, Makassar, Indonesia
2Department of Government Science, Faculty of Social and Political Sciences, Padjadjaran University, Bandung, Indonesia
*Corresponding author.
Corresponding Author
Nosakros Arya
Available Online 29 April 2024.
DOI
10.2991/978-2-38476-236-1_58How to use a DOI?
Keywords
Bibliometric; Digital Literacy; Vos Viewer; Southeast Asia
Abstract

Digital literacy has become necessary for all activities worldwide, especially in the era of the Industrial Revolution 4.0. Information related to digital literacy has not been implemented comprehensively in various countries, especially in the Southeast Asia region where Indonesia is located. This research aims to study the status of digital literacy research involving various scientific fields. Bibliometric analysis was used as a method in the analysis process related to scientific literature in a particular field or topic by identifying trends, patterns and relationships in published re-search with the help of Vosviewer and Excel applications to display visualizations of research development maps related to digital iteration in various scientific areas. As much as 6,650 publications were collected from the Scopus database from 2003–2023, but this research only conducted research in Southeast Asia. There were 577 publications in Southeast Asia from 2005–2023. This research used a bibliometric approach in processing data. The results of the bibliometric analysis showed that the most popular keywords in research on digital literacy were COVID-19, online learning, social media, media literacy, and blended learning. The publication with the highest number of citations in digital literacy was Identifying Digital Transformation Paths in the business model of SMEs during the Covid-19 pandemic with 220 citations.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the World Conference on Governance and Social Sciences (WCGSS 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 April 2024
ISBN
978-2-38476-236-1
ISSN
2352-5398
DOI
10.2991/978-2-38476-236-1_58How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nosakros Arya
AU  - Fauzan Hidayatullah
AU  - Zhahirah Indrawati Zainuddin
AU  - Sartika Sari Wardanhi Dh Pasha
PY  - 2024
DA  - 2024/04/29
TI  - Bibliometric Analysis: the Graphic Growth of Digital Literacy Research on the Scopus Database in Southeast Asia
BT  - Proceedings of the World Conference on Governance and Social Sciences (WCGSS 2023)
PB  - Atlantis Press
SP  - 547
EP  - 558
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-236-1_58
DO  - 10.2991/978-2-38476-236-1_58
ID  - Arya2024
ER  -