A bibliometric analysis of digital literacy research and emerging themes pre-during COVID-19 pandemic

Purpose - Digital literacy is not the mere ability to use a digital device or know to use various software. It is a domain of exploration for sociology, psychology, education and, of course, technology. This study aims to present a quantitative analysis of the literature on digital literacy using a bibliometric approach. Design/methodology/approach - Using data from the Web of Science database, the importance of the research is evaluated by reviewing 2307 publications and examining the yearly publication, field category productivity, citation structure, most cited resources, documents, most-cited authors, most productive authors, and country in the field of digital literacy. Further, a cluster analysis is conducted to see the most recurrent keywords and emerging trends in this field. At last, the authors analyzed the thematic progression of keywords over these five years based on the normalized citations. Additionally, a graphical representation of the bibliometric data using VOSviewer is presented in the paper. Findings - The results suggest a steady rate of publication in this field, with most of the research published in education and library fields and the USA leading the country in this realm. The emerging themes in this field are 'Fake News', 'Competence', 'Educational Technology', 'Health Literacy', 'Self-Efficacy' and, interestingly, 'COVID-19'. The results also revealed that COVID-19 has been examined and associated with fake news, higher education, social media and information literacy. Originality/value - This paper provides an overall summary of the most recent research work published from 2017 to 2021 on digital literacy in the backdrop of COVID-19. The study presents the thematic progression over the years and particularly the new keywords that emerged in the limelight of the pandemic. It contributes by updating the existing body of knowledge in the field of digital literacy and presents preliminary results related to COVID-19.