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Data Journalism in the Age of Big Data: An Exploration into the Uptake of Data Journalism in Leading South African Newspapers

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Data Journalism in the Global South

Abstract

The growing capacity to generate large quantities of data as a result of rapid technological change in the recent past has meant that increasingly, journalists everywhere are under pressure to find new ways of handling this information deluge, processing and packaging it in ways that allow ease of access for their readers. These data blizzards have been further intensified by the ever-expanding social media networks that keep churning out large volumes of information at unprecedented speed, making gathering, processing and packaging information in visualisable form all the more important. The rise of data journalism is in part a direct response to this, as it provides journalists the critical tools to manipulate data on complex issues such as national budgets, election manifestos and national census for innovative storytelling. This chapter explores the emergence of data journalism in South Africa and analyses its uptake by three leading mainstream newspapers—The Star, a national daily broadsheet; The Daily Sun, a national daily tabloid; and the Mail & Guardian, a widely respected weekly investigative paper. Using the so-called GuptaLeaks (a terabyte of email data on the links between the Gupta brothers and members of President Zuma’s government and family) as a reference point, the chapter analyses the extent to which the selected newspapers deployed data journalism to build the story of mass corruption that has come to be known as “State Capture.” It explores rationales for adoption or non-adoption of data journalism, as well as the different ways in which data journalism is affecting traditional newsroom practices through interviews interviews with a small sample of journalists and the selected papers.

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Notes

  1. 1.

    A former Business Day journalist recalled that they were told readers liked these data-driven stories, but was not sure if indeed that was the case.

  2. 2.

    The “State Capture” story refers to the massive corruption in South Africa during the era of President Jacob Zuma. While many individuals and institutions have been named in the corrupt practices amounting to capturing the state, it is the Gupta family, with its links to President Zuma, which was at the centre of it all. The “leak” of a huge email cache, known as GuptaLeaks, became a huge data minefield for journalists to pull out stories of state corruption from various angles and involving multiple actors. VBS (formed as Venda Building Society) was immediately linked to State Capture when it advanced a loan to then President Zuma when he was ordered to pay back state money used in controversial renovations at his rural Nkandla home. Other corruption and mismanagement issues at the bank were later to surface, bringing in several politicians from different parties.

  3. 3.

    See: http://academy.code4sa.org/training/short-courses. Accessed 25.03.2019.

  4. 4.

    See, for example: http://datajournalismcourse.net/. Accessed 25.03.2019.

  5. 5.

    Toyi toyi is a dance used in political protests in Southern Africa. It was originally created by the ZIPRA (Zimbabwe People’s Resistance Army) forces during the strugle for independence.

  6. 6.

    All stories curated under this partnership were clearly marked as such in the newspaper.

References

  • Appelgren, E., & Nygren, G. (2014). Data journalism in Sweden: Introducing new methods and genres of journalism into “old” organizations. Digital Journalism, 2(3), 394–405.

    Article  Google Scholar 

  • Baack, S. (2011). A new style of news reporting: Wikileaks and data-driven journalism. Cyborg Subjects, 1–10. Accessed at: https://nbnresolving.org/urn:nbn:de:0168-ssoar-400253. Accessed 3 April 2019.

  • Ballack, S. (2018, May 19). Data journalism practices. Conference presentation, Ankara University.

    Google Scholar 

  • Borges-Rey, E. (2016). Unravelling data journalism: A study of data journalism practice in British newsrooms. Journalism Practice, 10(7), 833–843.

    Article  Google Scholar 

  • Borges-Rey, E. (2017). Towards an epistemology of data journalism in the devolved nations of the United Kingdom: Changes and continuities in materiality, performativity and reflexivity. Journalism, 1–18. https://doi.org/10.1177/1464884917693864

  • Caplan, R., & Boyd, D. (2016). Who controls the public sphere in an era of algorithms? New York: Data & Society. https://datasociety.net/pubs/ap/MediationAutomationPower_2016.pdf

  • Coddington, M. (2015). Clarifying journalism’s quantitative turn: A typology for evaluating data journalism, computational journalism, and computer-assisted reporting. Digital Journalism, 3(3), 331–348.

    Article  Google Scholar 

  • Cottle, S. (2007). Ethnography and news production: New(s) developments in the field. Sociology Compass, 1, 1–16.

    Article  Google Scholar 

  • Cukier, K., & Mayer-Schoenberger, V. (2013). The rise of big data: How it’s changing the way we think about the world. Foreign Affairs, 92, 28.

    Google Scholar 

  • De Maeyer, J., Libert, M., Domingo, D., Heinderyckx, F., & Le Cam, F. (2015). Waiting for data journalism: A qualitative assessment of the anecdotal take-up of data journalism in French-speaking Belgium. Digital Journalism, 3(3), 432–446.

    Article  Google Scholar 

  • Epstein, E. J. (1978). News from nowhere, television and the news. New York: Random House.

    Google Scholar 

  • Fink, S. (2016, March 19). Data journalism: From and content. Conference presentation, Ankara University, 2018.

    Google Scholar 

  • Fink, K., & Anderson, C. W. (2015). Data journalism in the United States: Beyond the “usual suspects”. Journalism Studies, 16(4), 467–481.

    Article  Google Scholar 

  • Gans, H. J. (1979). Deciding what’s news: A study of CBS evening news, NBC Nightly News, Newsweek and time. London: Constable and Company.

    Google Scholar 

  • Gray, J., Chambers, L., & Bounegru, L. (2012). The data journalism handbook: How journalists can use data to improve the news. California: O’Reilly Media, Inc.

    Google Scholar 

  • Halevy, A. Y., & McGregor, S. (2012). Data Management for Journalism. IEEE Data Engineering Bulletin, 35(3), 7–15.

    Google Scholar 

  • Hammond, P. (2017). From computer-assisted to data-driven: Journalism and big data. Journalism, 18(4), 408–424.

    Article  Google Scholar 

  • Hannaford, L. (2015). Computational journalism in the UK newsroom. Journal of Education, 4(6), 34–53.

    Google Scholar 

  • Knight, M. (2015). Data journalism in the UK: A preliminary analysis of form and content. Journal of Media Practice, 16(1), 55–72.

    Article  Google Scholar 

  • Lathrop, D., & Ruma, L. (2010). Open government: Collaboration, transparency, and participation in practice. California: O’Reilly Media, Inc.

    Google Scholar 

  • Lewis, S. C. (2015). Journalism in an Era of big data. Digital Journalism, 3(3), 321–330.

    Article  Google Scholar 

  • Loosen, W., Reimer, J., & De Silva-Schmidt, F. (2017). Data-driven reporting: An on-going (r) evolution? An analysis of projects nominated for the data journalism awards 2013–2016. Journalism, 44(3), 14–34.

    Google Scholar 

  • Moyo, D., Mare, A., & Matsilele, T. (2019). Analytics-driven journalism? Editorial metrics and the reconfiguration of online news production practices in African newsrooms. Digital Journalism, 4(7), 490–506.

    Google Scholar 

  • Parasie, S., & Dagiral, E. (2013). Data-driven journalism and the public good: “Computer-assisted-reporters” and “programmer-journalists” in Chicago. New Media & Society, 15(6), 853–871.

    Article  Google Scholar 

  • Phillips, A. (2010). Old sources: New bottles. In N. Fenton (Ed.), New media, old news: Journalism & democracy in the digital age (pp. 87–101). Thousand Oaks: Sage.

    Google Scholar 

  • Ryfe, D. (2009). Structure, agency, and change in an American newsroom. Journalism, 10(5), 665–683.

    Article  Google Scholar 

  • Schudson, M. (1978). Discovering the news: A social history of American newspapers. New York: Basic Books.

    Google Scholar 

  • Schudson, M. (1989). The sociology of news production. Media, Culture and Society. Available from http://mcs.sagepub.com/content/11/3/263

  • Schudson, M. (2000). The sociology of news production revisited (again). In J. Curran & M. Gurevitch (Eds.), Mass media and society (3rd ed.). London: Arnold.

    Google Scholar 

  • Spiller, R. (2014). Data journalism and content. Publizistik, 59(4), 411–433.

    Google Scholar 

  • Tabary, C., Provost, A. M., & Trottier, A. (2016). Data journalism’s actors, practices and skills: A case study from Quebec. Journalism, 17(1), 66–84.

    Article  Google Scholar 

  • Tandoc, E. C., Jr., & Oh, S. K. (2017). Small departures, big continuities? Norms, values, and routines in the Guardian’s big data journalism. Journalism Studies, 18(8), 997–1015.

    Article  Google Scholar 

  • Tuchman, G. (1978). Making news, a study in the construction of reality. New York: The Free Press.

    Google Scholar 

  • Usher, N. (2012). Marketplace public radio and news routines reconsidered: Between structures and agents. Journalism, 14(6), 807–822.

    Article  Google Scholar 

  • Wanyoike, M. (2017, January 7). Code for Africa’s digital journalism. Paper presented at a Plenary Session at Dedan Kimathi University of Technology.

    Google Scholar 

  • Young, M. L., Hermida, A., & Fulda, J. (2017). What makes for great data journalism? A content analysis of data journalism awards finalists 2012–2015. Journalism Practice, 12(1), 115–135.

    Article  Google Scholar 

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Correspondence to Dumisani Moyo .

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Moyo, D., Munoriyarwa, A. (2019). Data Journalism in the Age of Big Data: An Exploration into the Uptake of Data Journalism in Leading South African Newspapers. In: Mutsvairo, B., Bebawi, S., Borges-Rey, E. (eds) Data Journalism in the Global South. Palgrave Studies in Journalism and the Global South. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-25177-2_6

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