İletişim Çalışmalarına COVID-19 Pandemisi Etkisi: Bibliyometrik Analiz

Year 2021, Volume: 14 Issue: 4, 1521 - 1545, 25.10.2021

Aysel Kurnaz

https://doi.org/10.18094/josc.975982

Cited By: 3

Abstract

Bu araştırmanın amacı COVID-19 pandemi sürecinde iletişim alanına yön veren dergilerde yayımlanan uluslararası makalelerde ağırlıklı olarak hangi konularla ilgili çalışmalar yapıldığı ve bu çalışmaların ne kadarının COVID-19 ile ilgili olduğunun bibliyometrik analiz yöntemi aracığıyla incelenmesidir. Böylelikle iletişim disiplininin pandemi sürecine akademik olarak nasıl tepki verdiği açıklanmaya çalışılmaktadır. Bu amaç doğrultusunda Q1 kategorisinde yer alan Journal Citation Reports (2019) ve Scimago Journal & Country Rank’a (2019) göre iletişim alanındaki etki faktörü yüksek ilk 20 dergi değerlendirmeye alınmıştır. İlgili dergilerde 1 Ocak 2020- 20 Nisan 2021 döneminde yayımlanan makalelere Web of Science veri tabanı aracılığıyla ulaşılmıştır. R yazılımı kullanılarak gerçekleştirilen analizler sonucunda toplam 1613 makale incelenmiş, bu çalışmalardan COVID-19 ile ilişkili olan makale sayısının 36 olduğu tespit edilmiştir. COVID-19 ile ilgili 36 çalışmanın 25 tanesi ‘Social Media + Society’ dergisinde yayımlanmıştır. İletişim alanında etki faktörüne göre ilk 20 dergiden 14 tanesinde COVID-19 ile ilgili makale yayımlanmadığı görülmüştür. İlgili araştırma döneminde iletişim alanında en fazla yayın yapan ilk 10 yazarın %40’ının University of Amsterdam’da, COVID-19 konulu çalışmaları yapan yazarların %75’inin kurumu ise University of Zurich olmuştur. İletişim literatüründe ön plana çıkan anahtar kelimeler “social media”, “journalism”, “news” “Twitter”, “Facebook” ve “Instagram” kavramları iken COVID-19 ile ilgili çalışmalarda ise “social media”, “misinformation” ve “contact tracing” kavramları ön plana çıkmıştır.

Keywords

İletişim, COVID-19, Bibliyometrik Analiz, R, Q1 sıralaması

The Impact of the COVID-19 Pandemic on Communication Studies: Bibliometric Analysis

Abstract

This research aims to examine which issues are mainly carried out in international articles published in journals that direct the field of communication during the COVID-19 pandemic process and how many of these studies are related to COVID-19 through the bibliometric analysis method. For this purpose, the top 20 journals with high impact factors in communication were evaluated according to the Journal Citation Reports (2019) and Scimago Journal & Country Rank (2019) in the Q1 rank. The articles published in the relevant journals between January 1, 2020 - April 20, 2021, have been accessed through the Web of Science database. As a result of the analyses performed using R software, a total of 1613 articles were examined, and it was determined that the number of articles related to COVID-19 was 36. 25 of 36 works on COVID-19 were published in the “Social Media + Society” journal. It was observed that 14 of the first 20 journals did not publish articles on COVID-19. It is seen that 40% of the top 10 authors who published most in the field of communication during the relevant research period were from the University of Amsterdam, and 75% of the authors who worked on COVID-19 were from the University of Zurich. While the main keywords in the communication literature were "social media," "journalism," "news," "Twitter," "Facebook," and "Instagram," the concepts of "social media," "misinformation," and "contact tracing" came to the fore in COVID-19 related studies.

Keywords

Communication, COVID-19, Bibliometric analysis, R, Q1 rank

References

• Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11, 959-975.
• Boston University . (2021, May). Communicating COVID-19, Weekly updates of main topics in international news coverage of COVID-19: https://covid19.philemerge.com/ adresinden alınmıştır
• Chen, C.-Y. (2020). Smartphone addiction: Psychological and social factors predict the use and abuse of a social mobile application . Information, Communication & Society, 23, 454-467.
• Cobo, M., Lopez-Herrera, A., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of aresearch field: A practical application to the fuzzy sets theory field. Journal of Informetrics, 5(1), 1.
• Comfort, S., & Park, Y. (2018). On the field of environmental communication: A systematic review of the peer-reviewed literature. Environmental Communication, 12(7), 862-875.
• Cooper, H. M. (1998). Synthesizing research: A guide for literature reviews. (3rd ed.). Thousand Oaks: CA: Sage.
• De Bakker, F., Groenewegen, P., & Den Hond, F. (2005). A bibliometric analysis of 30 years of research and theory on corporate social responsibility and corporate social performance. Business & Society, 44(3), 283-317.
• Demeter, M. (2018). Changing center and stagnant periphery in communication and media studies: National diversity of major international journals in the field of communication from 2013 to 2017. International Journal of Communication, 12, 2893-2921.
• Ekundayo, T., & Okoh, A. (2018). A global bibliometric analysis of Plesiomonas-related research (1990 -2017). PLoS ONE, 13(11), e0207655.
• Feeley, T. (2008). A bibliometric analysis of communication journals from 2002 to 2005. Human Communication Research, 34, 505-520.
• Funkhouser, E. (1996). The evaluative use of citation analysis for communication journals . Human Communicution Research, 22(4), 563-574.
• Google Scholar Citations. (2021, May). Jonathan A. Obar Google Scholar Citations: https://scholar.google.ca/citations?hl=en&user=HM9FWiMAAAAJ&view_op=list_works&sortby=pubdate adresinden alınmıştır
• Güzeller, C., & Çeliker, N. (2017). Gastronomy from past to today: A bibliometrical analysis. Journal of Tourism and Gastronomy Studies, 5(2), 88-102.
• Hall, C. M. (2011). Publish and perish? Bibliometric analysis, journal ranking and the assessment of research quality in tourism. Tourism Management, 32(1), 16-27.
• Hargittai, E., Nguyen, M., Fuchs, J., Gruber, J., Marler, W., Hunsaker, A., & Karaoglu, G. (2020). From zero to a national data set in 2 weeks: Reflections on a COVID-19 collaborative survey project. Social Media + Society, 6.
• Hayes, A., & Coutts, J. (2020). Use Omega rather than Cronbach’s Alpha for estimating reliability. But…. Communication Methods and Measures, 14, 1-24.
• Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output . PNAS, 102 (46 ), 16569-16572.
• Ji, Y., Tao, W., & Rim, H. (2020). Mapping corporate social responsibility research in communication: A network and bibliometric analysis. Public Relations Review, 46, 1-15.
• Journal Citation Reports. (2019, April). Web of Science Journal Citation Reports : https://clarivate.com/webofsciencegroup/web-of-science-journal-citation-reports-2019 adresinden alınmıştır
• Ki, E., Pasadeos, Y., & Ertem-Eray, T. (2019). Growth of public relations research networks: a bibliometric analysis. Journal of Public Relations Research, 31(1-2), 5-31.
• Kim, J., & McMillan, S. (2008). Evaluation of ınternet advertising research: A Bibliometric analysis of citations from key sources. Journal of Advertising, 37(1), 99-112.
• Lee, K., Jung, H., & Song, M. (2016). Subject–method topic network analysis in communication studies . Scientometrics, 109, 1761-1787.
• Lee, Y., & Yue, C. (2020). Status of internal communication research in public relations: An analysis of published articles in nine scholarly journals from 1970 to 2019. Public Relations Review, 46, 1-10.
• Liang, F. (2020). COVID-19 and health code: How digital platforms tackle the pandemic in China. Social Media + Society, 6, 1-4.
• Liang, X., & He, M. (2017 ). A co-citation bibliometric analysis of crowdsourcing research. In Proceedings of The 17th International Conference on Electronic Business, December 4-8 (s. 1-12). Dubai, UAE: ICEB.
• Obar, J., & Oeldorf-Hirsch, A. (2020). The biggest lie on the Internet: Ignoring the privacy policies and terms of service policies of social networking services. Information, Communication & Society, 23, 128-147.
• Pasadeos, Y., Phelps, J., & Kim, B. (1998). Disciplinary ımpact of advertising scholars: Temporal comparisons of ınfluential authors, works and research networks. Journal of Advertising, 27(4), 53-70.
• Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation(25), 348-349.
• QS World University Rankings. (2020, June). Communication & Media Studies again number one worldwide in QS Ranking.: https://www.uva.nl/en/content/news/news/2021/03/communication--media-studies-again-number-one-worldwide-in-qs-ranking.html adresinden alınmıştır
• Reeves, B., & Borgman, C. (1983). A bibliometric evaluation of core journals in communication research. Human Communication Research, 10(1), 119-136.
• Rice, R., Borgman, C., & Reeves, B. (1988). Citation networks of communication journals, 1977-1985: Cliques and positions, citations made and citations received. Human Communication Research, 15(2), 256-283.
• Scimago Journal & Country Rank . (2019, April). Journal Rankings: https://www.scimagojr.com/journalrank.php?category=3315&type=j&year=2019 adresinden alınmıştır
• So, C. (2010). The rise of Asian communication research: A citation study of SSCI journals . Asian Journal of Communication, 20(2), 230-247.
• University of Amsterdam News. (2021, May). Amsterdam School of Communication Research: https://ascor.uva.nl/news/newslist.html adresinden alınmıştır
• Van Raan, A. F. (2005). For your citations only? Hot topics in bibliometric analysis. Measurement: Interdisciplinary Research and Perspectives, 3(1), 50-62.
• Yang, L., Chen, Z., Liu, T., Gong, Z., Yu, Y., & Wang, J. (2013). Global trends of solid waste research from 1997 to 2011 by using bibliometric analysis. Scientometrics, 96(1), 133-146.