What’s it all mean? Examining metajournalistic discourse concerning big data

References

1. Anderson, C. W.. ( 2015;), ‘ Between the unique and the pattern: Historical tensions in our understanding of quantitative journalism. ’, Digital Journalism, 3:3, pp. 349–63.
   [Google Scholar]
2. Arthur, L.. ( 2013;), ‘ What is big data?. ’, Forbes, https://www.forbes.com/sites/lisaarthur/2013/08/15/what-is-big-data/-695c4b745c85. Accessed 17 March 2020.
   [Google Scholar]
3. Bell, E.. ( 2012;), ‘ Journalism by numbers. ’, Columbia Journalism Review, pp. 48–49.
   [Google Scholar]
4. Berger, A. A.. ( 1998), Media Research Techniques, , 2nd ed.., Thousand Oaks, CA:: Sage;.
   [Google Scholar]
5. Berger, P. L., and Luckmann, T.. ( 1990), The Social Construction of Reality: A Treatise in the Sociology of Knowledge, New York:: Anchor Books;.
   [Google Scholar]
6. Berkowitz, D.. ( 2000;), ‘ Doing double duty paradigm repair and the princess Diana what-a-story. ’, Journalism, 1:2, pp. 125–43.
   [Google Scholar]
7. Bhatia, G.. ( 2015;), ‘ The Washington post adds context to the news with “knowledge map”. ’, Poynter, 16 July, https://www.poynter.org/reporting-editing/2015/the-washington-post-adds-context-to-the-news-with-knowledge-map/. Accessed 17 March 2020.
   [Google Scholar]
8. boyd, D., and Crawford, K.. ( 2012;), ‘ Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. ’, Information, Communication & Society, 15:5, pp. 662–79.
   [Google Scholar]
9. Carlson, M.. ( 2012;), ‘ “Where once stood titans”: Second-order paradigm repair and the vanishing US newspaper. ’, Journalism, 13:3, pp. 267–83.
   [Google Scholar]
10. Carlson, M.. ( 2016;), ‘ Metajournalistic discourse and the meanings of journalism: Definitional control, boundary work, and legitimation. ’, Communication Theory, 26:4, pp. 349–68.
    [Google Scholar]
11. Ciotta, R.. ( 1996;), ‘ Spreading the gospel of CAR. ’, American Journalism Review, pp. 36–37.
    [Google Scholar]
12. Coddington, M.. ( 2015;), ‘ Clarifying journalism’s quantitative turn: A typology for evaluating data journalism, computational journalism, and computer-assisted reporting. ’, Digital Journalism, 3:3, pp. 331–48.
    [Google Scholar]
13. Coffey, A., and Atkinson, P.. ( 1996), Making Sense of Qualitative Data: Complementary Research Strategies, Thousand Oaks, CA:: Sage;.
    [Google Scholar]
14. Craft, S., and Thomas, R. J.. ( 2016;), ‘ Metajournalism and media ethics. ’, in S. Craft, and R. J. Thomas. (eds), International Communication Association, Japan:: Fukuoka;, pp. 1–6.
    [Google Scholar]
15. Craft, S.,, Vos, T. P., and Wolfgang, J. D.. ( 2016;), ‘ Reader comments as press criticism: Implications for the journalistic field. ’, Journalism, 17:6, pp. 677–93.
    [Google Scholar]
16. Cukier, K., and Mayer-Schonberger, V.. ( 2013), Big Data: A Revolution That Will Transform How We Live, Work, and Think, vol. 92, Boston, MA:: Houghton Mifflin Harcourt;.
    [Google Scholar]
17. D’Ignazio, C.. ( 2014;), ‘ Big data and the future of journalism. ’, MIT Center for Civic Media, 12 February, https://civic.mit.edu/2014/02/12/big-data-and-the-future-of-journalism/. Accessed 17 March 2020.
    [Google Scholar]
18. Delo, C.. ( 2012;), ‘ B-school grads shirk staid CPGS for startups. ’, Advertising Age, 8 October, https://adage.com/article/news/b-school-grads-shirk-staid-cpgs-startups/237627. Accessed 17 March 2020.
    [Google Scholar]
19. Doctor, K.. ( 2013;), ‘ The newsonomics of “little data”, data scientists, and conversion specialists. ’, Nieman Lab, 17 October, https://www.niemanlab.org/2013/10/the-newsonomics-of-little-data-data-scientists-and-conversion-specialists/. Accessed 17 March 2020.
    [Google Scholar]
20. Doig, S. K.. ( 2006;), ‘ Data talk when reporters know how to listen. ’, Nieman Reports, https://niemanreports.org/articles/data-talk-when-reporters-know-how-to-listen/. Accessed 17 March 2020.
    [Google Scholar]
21. Dool, G.. ( 2015;), ‘ Trending now: New roles in magazine media. ’, Folio, 8 January, https://www.foliomag.com/trending-now-new-roles-in-magazine-media/. Accessed 17 March 2020.
    [Google Scholar]
22. Emerson, R.,, Fretz, R., and Shaw, L.. ( 1995), Writing Ethnographic Fieldnotes, Chicago, IL:: University of Chicago Press;.
    [Google Scholar]
23. Fairclough, N.. ( 2003), Analysing Discourse: Textual Analysis for Social Research, New York:: Routledge and Psychology Press;.
    [Google Scholar]
24. Fairfield, J., and Shtein, H.. ( 2014;), ‘ Big data, big problems: Emerging issues in the ethics of data science and journalism. ’, Journal of Mass Media Ethics, 29:1, pp. 38–51.
    [Google Scholar]
25. Ferrucci, P.. ( 2017;), ‘ “We’ve lost the basics”: Perceptions of journalism education from veterans in the field. ’, Journalism & Mass Communication Educator, 73:4, pp. 410–20.
    [Google Scholar]
26. Ferrucci, P.. ( 2018;), ‘ Mo “Meta” Blues: How popular culture can act as metajournalistic discourse. ’, International Journal of Communication, 12:2018, pp. 4821–38.
    [Google Scholar]
27. Ferrucci, P.. ( 2019;), ‘ The end of ombudsmen? 21st-Century journalism and reader representatives. ’, Journalism & Mass Communication Quarterly, 96:1, pp. 288–307.
    [Google Scholar]
28. Ferrucci, P., and Taylor, R.. ( 2018;), ‘ Access, deconstructed: Metajournalistic discourse and photojournalism’s shift away from geophysical access. ’, Journal of Communication Inquiry, 42:2, pp. 121–37.
    [Google Scholar]
29. Ferrucci, P.,, Nelson, J. L., and Davis, M. P.. ( 2020;), ‘ From “public journalism” to “engaged journalism”: Imagined audiences and denigrating discourse. ’, International Journal of Communication, 14:2020, pp. 1586–604.
    [Google Scholar]
30. Garrison, B.. ( 2001;), ‘ Computer-assisted reporting near complete adoption. ’, Newspaper Research Journal, 22:1, pp. 65–79.
    [Google Scholar]
31. Gordon, K.. ( 2013;), ‘ What is big data?. ’, Itnow, 55:3, pp. 12–13.
    [Google Scholar]
32. Guo, L.,, Vargo, C. J.,, Pan, Z.,, Ding, W., and Ishwar, P.. ( 2016;), ‘ Big social data analytics in journalism and mass communication comparing dictionary-based text analysis and unsupervised topic modeling. ’, Journalism & Mass Communication Quarterly, 93:2, pp. 332–59.
    [Google Scholar]
33. Knolle, S.. ( 2015;), ‘ It’s a big, big world. ’, Editor & Publisher, 12 January, https://www.editorandpublisher.com/news/it-s-a-big-big-world/. Accessed 17 March 2020.
    [Google Scholar]
34. Lervik, J.. ( 2014;), ‘ Does the news business need Bezos’ Midas touch to save it?. ’, Editor & Publisher, 21 May, https://www.editorandpublisher.com/columns/shoptalk-does-the-news-business-need-bezos-midas-touch-to-save-it/. Accessed 17 March 2020.
    [Google Scholar]
35. Lewis, S. C.. ( 2015;), ‘ Journalism in an era of big data: Cases, concepts, and critiques. ’, Digital Journalism, 3:3, pp. 321–30.
    [Google Scholar]
36. Lewis, S. C., and Westlund, O.. ( 2015;), ‘ Big data and journalism: Epistemology, expertise, economics, and ethics. ’, Digital Journalism, 3:3, pp. 447–66.
    [Google Scholar]
37. Li, A.. ( 2013;), ‘ Online course shows impact, importance of data-driven journalism. ’, Poynter, 13 September, https://www.poynter.org/reporting-editing/2013/online-course-shows-impact-importance-of-data-driven-journalism/. Accessed 17 March 2020.
    [Google Scholar]
38. Maeyer, J. De, and Holton, A. E.. ( 2016;), ‘ Why linking matters: A metajournalistic discourse analysis. ’, Journalism, 17:6, pp. 776–94.
    [Google Scholar]
39. Maeyer, J. De,, Libert, M.,, Domingo, D.,, Heinderyckx, F., and 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, pp. 432–46.
    [Google Scholar]
40. Mutter, A.. ( 2012;), ‘ Big data is a big deal for newspapers. ’, Editor & Publisher, 7 August, https://www.editorandpublisher.com/columns/newsosaur-big-data-is-a-big-deal-for-newspapers/. Accessed 17 March 2020.
    [Google Scholar]
41. Mutter, A.. ( 2014;), ‘ Big data zeros in on ad inefficiency. ’, Editor & Publisher, 19 February, https://www.editorandpublisher.com/news/big-data-zeros-in-on-ad-inefficiency/. Accessed 17 March 2020.
    [Google Scholar]
42. Newman, M. Z.. ( 2014), Video Revolutions: On the History of a Medium, New York:: Columbia University Press;.
    [Google Scholar]
43. Palser, B.. ( 2009;), ‘ The delights of data: News organizations would be wise to embrace mashups on their Web sites. ’, American Journalism Review, 31:5, p. 56.
    [Google Scholar]
44. Parasie, S.. ( 2015;), ‘ Data-driven revelation? Epistemological tensions in investigative journalism in the age of big data. ’, Digital Journalism, 3:3, pp. 364–80.
    [Google Scholar]
45. Parker, C. B.. ( 2016;), ‘ Future of investigative reporting focused on collaboration, big data technology, experts say at Stanford panel. ’, Stanford John S. Knight Journalism, 11 July, https://news.stanford.edu/2016/07/11/future-investigative-reporting-focused-collaboration-big-data-technology-experts-say-stanford-panel/. Accessed 17 March 2020.
    [Google Scholar]
46. Parsons, J.. ( 2014;), ‘ Thinking big. ’, Folio, 43:5, pp. 22–25.
    [Google Scholar]
47. Paskin, J.. ( 2010;), ‘ Serious fun with numbers. ’, Columbia Journalism Review, 49:4, pp. 23–24.
    [Google Scholar]
48. Pospisil, K.. ( 2012;), ‘ Thinking big. ’, American Journalism Review, Fall, pp. 7–8.
    [Google Scholar]
49. Powers, M.. ( 2012;), ‘ In forms that are familiar and yet-to-be invented American journalism and the discourse of technologically specific work. ’, Journal of Communication Inquiry, 36:1, pp. 24–43.
    [Google Scholar]
50. Prochnau, W.. ( 2002;), ‘ How did I do this before Google. ’, American Journalism Review, November, pp. 24–29.
    [Google Scholar]
51. Reisner, N.. ( 2014;), ‘ Are journalism students up to code?. ’, The Quill, 9, p. 22.
    [Google Scholar]
52. Romenesko, J.. ( 2013;), ‘ Washington Post customer service department needs to be Amazon-ized. ’, Romenesko.com , http://jimromenesko.com/2013/08/07/washington-post-renewal-service-needs-to-be-amazon-ized/. Accessed 9 August 2013.
53. Ruggiero, T. E.. ( 2004;), ‘ Paradigm repair and changing journalistic perceptions of the Internet as an objective news source. ’, Convergence, 10:4, pp. 92–106.
    [Google Scholar]
54. Shirky, C.. ( 2015;), ‘ Revolt of the clerks. ’, Columbia Journalism Review, March/April, pp. 45–46.
    [Google Scholar]
55. Sonderman, J.. ( 2011;), ‘ New generation of Web analytics applies “big data” to newsroom decisions. ’, Poynter, 19 August, https://www.poynter.org/2011/new-generation-of-web-analytics-applies-big-data-to-newsroom-decisions-visual-revenue-jumptime/143389/. Accessed 17 March 2020.
    [Google Scholar]
56. South, J.. ( 2000;), ‘ No secrets. ’, American Journalism Review, April, pp. 50–55.
    [Google Scholar]
57. Starr, D. P.. ( 2009;), ‘ The future of the United States. ’, Grassroots Editor, Spring, pp. 15–16.
    [Google Scholar]
58. Stone, M. L.. ( 2014;), ‘ Big data for media. ’, Reuters Institute for the Study of Journalism, http://reutersinstitute.politics.ox.ac.uk/sites/default/files/Big Data For Media_0.pdf. Accessed 1 March 2017.
    [Google Scholar]
59. Vallance-Jones, F.. ( 2001;), ‘ Do you want to produce stories that demand attention? Then learn how to ask questions of your data. ’, Media, Summer, p. 28.
    [Google Scholar]
60. Vos, T. P., and Craft, S.. ( 2017;), ‘ The discursive construction of journalistic transparency. ’, Journalism Studies, 18:12, pp. 1505–22.
    [Google Scholar]
61. Vos, T. P., and Singer, J. B.. ( 2016;), ‘ Media discourse about entrepreneurial journalism: Implications for journalistic capital. ’, Journalism Practice, 10:2, pp. 143–59.
    [Google Scholar]
62. Waisbord, S.. ( 2013), Reinventing Professionalism: Journalism and News in Global Perspective, Malden, MA:: Polity;.
    [Google Scholar]
63. Walton, M.. ( 2010;), ‘ Investigative shortfall. ’, American Journalism Review, Fall, pp. 18–30.
    [Google Scholar]
64. Winslow, G.. ( 2013;), ‘ The measurement mess. ’, Broadcasting & Cable, July, pp. 12–14.
    [Google Scholar]
65. Winslow, G.. ( 2015;), ‘ At show, watching gadgets for now and tomorrow. ’, Broadcasting & Cable, January, pp. 24–26.
    [Google Scholar]
66. Zintel, E.. ( 2014;), ‘ Cxense unveils a gusher of a data management platform. ’, Editor & Publisher, June, p. 10.
    [Google Scholar]
67. Ferrucci, Patrick. ( 2020;), ‘ What’s it all mean? Examining metajournalistic discourse concerning big data. ’, Journal of Applied Journalism & Media Studies, 9:3, pp. 253–269, doi: https://doi.org/10.1386/ajms_00012_1
    [Google Scholar]