Tạp chí in Tiếng Anh

Impacts of Digital Technology and Directions for Data Journalism Training

Thi Thu Huong DUONG

duonghuong_xhh@yahoo.com

Academy of Journalism and Communication

Ngày nhận bài: 18/08/2022 Ngày phản biện: 06/09/2022 Ngày xuất bản: 28/10/2022

Abstract:

This article discusses the changes in communication models, public characteristics of the mass media, the role and position of journalism in the context of the development of the internet, social networks and digital technologies. The aforementioned changes have posed challenges to the new trend of journalism towards data journalism and data journalism training. The role of journalism is no longer to detect problems, while promptly conveying issues to the public, but to analyze data, detect problems from data sources, and communicate with the public in an understandable language using new forms and technologies. This may be a new orientation that institutions of journalism training need to prepare, develop and renovate programs in order to catch up with practical needs.

Keyword:

mass communication, data journalism, journalism training.

Content:

Reference:

(1) See more: Aitamurto T., Sirkkunen, E., & Lehtonen, P. (2011), “Trends in data journalism”, Next media, (Retrieved from: http://virtual.vtt.fi/virtual/nextmedia/ deliverables-2011/D3.2.1.2.B_hyperlocal_trends_In%20data_iournalism.pdf); Butsch, R. (2000), The Making of American Audiences: From Stage to Television 1750- 1990, Cambridge: Cambridge University Press.

(2) Blumler, J. G., & Katz, E. (Eds.) (1974), The Uses of Mass Communications: Current Perspectives on Gratification Research, Beverly Hills, Cal.: Sage.

(3) Felle, T., Mair, J., & Radcliffe, D. (2015), Data Journalism: Inside the global future, Suffolk, England: Abramis Academic Publishing.

(4) European Journalism Centre (2010), Data-driven journalism: What is there to learn? Retrieved from: https://www.slideshare.net/duarteromero/datadriven-journalism-what- is-there-to-learn-12056926.

(5) Gray, J., Bounegru, L., & Chambers, L. (2012), The Data Journalism Handbook, California, CA: O’Reilly Media, Inc.

(6) Aitamurto T., Sirkkunen, E., & Lehtonen, P. (2011), “Trends in data journalism”, Next media, Retrieved from: http://virtual.vtt.fi/virtual/nextmedia/deliverables-2011/ D3.2.1.2.B_hyperlocal_trends_In%20data_iournalism.pdf.

(7) Howard, A. B. (2014), “The Art and Science of data-driven Journalism. Tow Center for Digital Journalism”, Retrieved from: https://towcenter.org/wp-content/ uploads/2014/05/Tow-Center-Data-Driven-Journalism.pdf.

Abstract Keyword Reference Content

mass communication, data journalism, journalism training.

(2) Blumler, J. G., & Katz, E. (Eds.) (1974), The Uses of Mass Communications: Current Perspectives on Gratification Research, Beverly Hills, Cal.: Sage.

(3) Felle, T., Mair, J., & Radcliffe, D. (2015), Data Journalism: Inside the global future, Suffolk, England: Abramis Academic Publishing.

(4) European Journalism Centre (2010), Data-driven journalism: What is there to learn? Retrieved from: https://www.slideshare.net/duarteromero/datadriven-journalism-what- is-there-to-learn-12056926.

(5) Gray, J., Bounegru, L., & Chambers, L. (2012), The Data Journalism Handbook, California, CA: O’Reilly Media, Inc.