Abstract
The study aims to identify data journalism, its types and importance, the role of the Corona pandemic in increasing the importance of data journalism, and the developments in data journalism in the Arab world. The greatest impact in changing many journalistic practices, and “data journalism” is one of these new phenomena that modern communication technology has mainly helped in developing and presenting in different, more interactive and attractive forms. Data journalism relies mainly on analyzing available data and numbers and embodying them in tables, curves, maps and other visual forms, to allow new facts and news that would not have been easy to obtain without those numbers. The study also revealed that data journalism is one of the tools that facilitated the interpretation and presentation of health topics. In addition to presenting news stories by processing large sets of data.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kosterich, A.: Reengineering journalism: product manager as news industry institutional entrepreneur. Digit. Journalism (2021). https://doi.org/10.1080/21670811.2021.1903959
De-Lima-Santos, M.-F., Salaverría, R.: From data journalism to artificial intelligence: challenges faced by La Nación in implementing computer vision in news reporting. Palabra Clave 24(3), 1–40 (2021)
Stalph, F., Borges Rey, E.: Data journalism sustainability: an outlook on the future of data-driven reporting. Digit. Journalism 6(8), 1078–1089 (2018)
Hepp, A., Loosen, W.: Pioneer journalism: conceptualizing the role of pioneer journalists and pioneer communities in the organizational re-figuration of journalism. Journalism 22(3), 577–595 (2021)
Chan-Olmsted, S.M.: A review of artificial intelligence adoptions in the media industry. Int. J. Media Manag. 21, 193–215 (2019)
Hong, H., Oh, H.J.: Utilizing bots for sustainable news business: understanding users’ perspectives of news bots in the age of social media. Sustainability 12, 6515 (2020)
Heravi, B.R., Lorenz, M.: Data journalism practices globally: skills, education, opportunities, and values. J. Media 1, 26–40 (2020). https://doi.org/10.3390/journalmedia1010003
de‐Lima‐Santos, M.‐F., Mesquita, L.: Data journalism beyond technological determinism. Journalism Stud. 22(11), 1416–1435 (2021)
Palomo, B., Teruel, L., Blanco-Castilla, E.: Data journalism projects based on user-generated content. How la Nacion data transforms active audience into staff. Digit. Journalism 7, 1270–1288 (2019)
Appelgren, E., Lindén, C.-G., van Dalen, A.: Data journalism research: studying a maturing field across journalistic cultures, media markets and political environments. Digit. Journalism 7, 1191–1199 (2019)
Jamil, S.: Artificial intelligence and journalistic practice: the crossroads of obstacles and opportunities for the Pakistani journalists. Journalism Pract. 1–23 (2020)
Heft, A., Alfter, B., Pfetsch, B.: Transnational journalism networks as drivers of Europeanisation. Journalism 20(9), 1183–1202 (2019)
Graefe, A., Bohlken, N.: Automated journalism: a meta-analysis of readers’ perceptions of human-written in comparison to automated news. Media Commun. 8, 50–59 (2020)
Fahmy, N., Attia, M.A.M.: A field study of Arab data journalism practices in the digital era. Journalism Pract. 15(2), 170–191 (2021). https://doi.org/10.1080/17512786.2019.1709532
Splendore, S., Brambilla, M.: The hybrid journalism that we do not recognize (anymore). Journalism Media 2(1), 51–61 (2021)
Ali, W., Hassoun, M.: Artificial intelligence and automated journalism: contemporary challenges and new opportunities. Int. J. Media Journalism Mass Commun. 5, 40–49 (2019)
Bastos, M., Mercea, D.: The public accountability of social platforms: lessons from a study on bots and trolls in the Brexit campaign. Philos. Trans. Roy. Soc. A: Math. Phys. Eng. Sci. 376 (2018)
Davenport, L., Fico, F., Detwiler, M.: Computer–assisted reporting in Michigan daily newspapers: more than a decade of adoption. In Newspaper Division, AEJMC National Convention. Phoenix: AZ. Available online: http://online.sfsu.edu/jjohnson/Courses&Syllabi/BU-JO807/Bibli&Articles/Davenport(2000).pdf. Accessed on 19 May 2022
Mutsvairo, B., Bebawi, S., Borges-Rey.: Data Journalism in the Global South: Comparative Perspectives. Palgrave, London, UK (2019)
de-Lima-Santos, M.-F., Ceron, W.: Artificial intelligence in news media: current perceptions and future outlook. Journalism Media 3, 13–26 (2022). https://doi.org/10.3390/journalmedia3010002
Heravi, B.: 3Ws of data journalism education: what, where and who? Journalism Pract. 13, 349–366 (2018)
de‐Lima‐Santos, M.F.: ProPublica’s data journalism: how multidisciplinary teams and hybrid profiles create impactful data stories. Media Commun. 10(1), 5–15 (2022)
Wright, K., Zamith, R., Bebawi, S.: Data journalism beyond majority world countries: challenges and opportunities. Digit. Journalism 7, 1295–1302 (2019)
Young, M.L., Hermida, A., Fulda, J.: What makes for great data journalism? A content analysis of data journalism awards finalists 2012–2015. Journalism Pract. 12, 115–135 (2018)
Kotenidis, E., Veglis, A.: Algorithmic journalism—current applications and future perspectives. Journalism Media 2, 244–257 (2021). https://doi.org/10.3390/journalmedia2020014
Wright, S., Doyle, K.: The evolution of data journalism: a case study of Australia. Journalism Stud. 20, 1811–1827 (2019)
Ojo, A., Heravi, B.: Patterns in award winning data storytelling: story types, enabling tools and competences. Digit. Journalism 6, 693–718 (2018)
Mutsvairo, B.: Data Journalism: International Perspectives, Oxford Research Encyclopedia. Communication (Oxfordre.Com/Communication). Oxford University Press USA, pp. 1–16 (2022)
Leppänen, L., Munezero, M., Granroth-Wilding, M., Toivonen, H.: Data-driven news generation for automated journalism. Paper presented at the 10th International Conference on Natural Language Generation. Santiago de Compostela, Spain, September 4–7, pp. 188–197 (2017)
Appelgren, E., Lindén, C.G.: Data journalism as a service: digital native data journalism expertise and product development. Media Commun. 8(2), 62–72 (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Hassan, A., Angawi, M. (2024). Data Journalism and Its Applications in Digital Age. In: Hamdan, A., Aldhaen, E.S. (eds) Artificial Intelligence and Transforming Digital Marketing. Studies in Systems, Decision and Control, vol 487. Springer, Cham. https://doi.org/10.1007/978-3-031-35828-9_16
Download citation
DOI: https://doi.org/10.1007/978-3-031-35828-9_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-35827-2
Online ISBN: 978-3-031-35828-9
eBook Packages: EngineeringEngineering (R0)