Data Journalism Bibliography
מאת None
פורסם ב-23.03.2016
Papers
- Aitamurto, T., Sirkkunen, E., & Lehtonen, P. (2011). Trends in Data Journalism. Espoo: VTT, 0–27.
- Anderson, C. W. (2011). Deliberative, Agonistic, and Algorithmic Audiences: Journalism’s Vision of its Public in an Age of Audience Transparency. International Journal of Communication, 5, 529–547.
- Anderson, C. W. (2012). Towards a sociology of computational and algorithmic journalism. New Media & Society 15: 1005-1021.
- Anderson, C. W. (2014). Between the Unique and the Pattern, Digital Journalism (January 2015), 37–41. doi:10.1080/21670811.2014.976407
- Appelgren, E., & Nygren, G. (2014). Data Journalism in Sweden. Digital Journalism, 2(3), 394–405. doi:10.1080/21670811.2014.884344
- Bradshaw, P. 2010. “How to Be a Data Journalist.” The Guardian, October 1. http://www.theguardian.com/news/datablog/2010/oct/01/data-journalism-how-to-guide.
- Bradshaw, P. (2011a): The inverted pyramid of data journalism. Hg. v. Online Journalism Blog
- Bradshaw, P. (2011b): 6 ways of communicating data journalism (The inverted pyramid of data journalism part 2). Hg. v. Online Journalism Blog
- Broussard, M. (2014). Artificial Intelligence for Investigative Reporting. Digital Journalism, (December), 1–18.
- Carlson, M. (2014). “The Robotic Reporter: Automated Journalism and the Redefinition of Labor, Compositional Forms, and Journalistic Authority”. Digital Journalism, (January 2015), 1–16.
- Coddington, Mark (2012). Defending a paradigm by patrolling a boundary: Two global newspapers’ approach to WikiLeaks. Journalism & Mass Communication Quarterly, 87 (3), 877-896.
- Coddington, M. (2014). Clarifying Journalism’s Quantitative Turn. Digital Journalism, (December), 1–18.
- Cohen, S., Li, C., Yang, J., & Yu, C. (2011). Computational Journalism: A Call to Arms to Database Researchers. Paper presented at the 5th Biennial Conference on Innovative Data Systems Research (CIDR ‘11), Asilomar, CA, January 9–12. http://ranger.uta.edu/~cli/pubs/2011/cjdb-cidr11-clyy-nov10.pdf.
- Daniel, A., & Flew, T. (2010, November). The guardian reportage of the UK MP expenses scandal: A case study of computational journalism. In Record of the Communications Policy and Research Forum 2010 (pp. 186-194). Network Insight Pty. Ltd..
- De Maeyer, J., Libert, M., Domingo, D., Heinderyckx, F., & Le Cam, F. (2014). Waiting for Data Journalism. Digital Journalism, (January 2015), 1–15.
- Diakopoulos, Nicholas. (2011). “A Functional Roadmap for Innovation in Computational Journalism.” April 22. http://www.nickdiakopoulos.com/2011/04/22/a-functional-roadmap-for-innovation-in-computational-journalism/.
- Diakopoulos, Nicholas. (2013). “Finding Tools Vs. Making Tools: Discovering Common Ground between Computer Science and Journalism.” Nieman Journalism Lab, February 14. http://www.niemanlab.org/2013/02/finding-tools-vs-making-tools-discovering-common- ground-between-computer-science-and-journalism/.
- Diakopoulos, N. (2014a). Algorithmic Accountability. Digital Journalism, 1–18.
- Diakopoulos, N. (2014b). Algorithmic Accountability Reporting: On the Investigation of Black Boxes. New York: Tow Center for Digital Journalism.
- Fink, K., & Anderson, C. W. (2014). Data Journalism in the United States. Journalism Studies, (August), 1–15.
- Flaounas, I., Ali, O., Lansdall-Welfare, T., De Bie, T., Mosdell, N., Lewis, J., & Cristianini, N. (2013). Research Methods in the Age of Digital Journalism. Digital Journalism, 1(1), 102–116.
- Flew, T., Spurgeon, C., Daniel, A., & Swift, A. (2012). The promise of computational journalism. Journalism Practice, 6(2), 157-171.
- Gordon, Rich. (2013). “Want to Build a Data Journalism Team? You’ll Need These Three People.” Northwestern University Knight Lab, June 28. http://knightlab.northwestern.edu/ 2013/06/28/want-to-build-a-data-journalism-team-youll-need-these-three-people/.
- Halevy, A. Y., & McGregor, S. (2012). Data Management for Journalism. IEEE Data Eng. Bull., 35(3), 7-15.
- Hoffart, J., Milchevski, D., & Weikum, G. (2014, November). AESTHETICS: Analytics with Strings, Things, and Cats. In Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (pp. 2018-2020). ACM.
- Hullman, J., Diakopoulos, N., Momeni, E., & Adar, E. (2015). Content, Context, and Critique: Commenting on a Data Visualization Blog. Proc Computer Supported Cooperative Work (CSCW).
- Karlsen, J., & Stavelin, E. (2014). Computational journalism in Norwegian newsrooms. Journalism Practice, 8(1), 34-48.
- Kirkpatrick, K. (2015). Putting the data science into journalism. Communications of the ACM, 58(5), 15–17. http://doi.org/10.1145/2742484
- Knight, M. (2015). Data journalism in the UK: a preliminary analysis of form and content. Journal of Media Practice, (ahead-of-print), 1-18.
- Lesage, F., & Hackett, R. A. (2014). Between Objectivity and Openness—The Mediality of Data for Journalism. Media and Communication, 1(1), 39-50.
- Lewis, S. C., & Usher, N. (2013). Open source and journalism: toward new frameworks for imagining news innovation. Media, Culture & Society, 35(5), 602–619.
- Lewis, S. (2014). New special issue—Journalism in an Era of Big Data: Cases, Concepts, and Critiques.
- Lewis, S. C., & Usher, N. (2014). Code, Collaboration, And The Future Of Journalism. Digital Journalism, (January 2015), 1–11. doi:10.1080/21670811.2014.895504
- Lewis, S. C., & Westlund, O. (2014). Big Data and Journalism. Digital Journalism, (December 2014), 1–20.
- Napoli, P. M. (2014). Automated Media: An Institutional Theory Perspective on Algorithmic Media Production and Consumption. Communication Theory, 24(3), 340–360. doi:10.1111/comt.12039
- Lewis, S., & Westlund, O. (2015). Actors, Actants, Audiences, and Activities in Cross-Media New Work, A matrix and a research agenda. Digital Journalism, (January 2015), 3(1).
- Nikki Usher, S. C. L. (2012a). Open source and journalism: Toward new frameworks for imagining news innovation. Paper Presented to the Journalism Studies Division of the International Communication Association, 1–25. doi:10.1177/0163443713485494
- Parasie, S., & Dagiral, E. (2012). Data-driven journalism and the public good: “Computer-assisted-reporters” and “programmer-journalists” in Chicago. New Media & Society, 15(6), 853–871.
- Parasie, S. (2014). Data-Driven Revelation? Epistemological tensions in investigative journalism in the age of “big data”. Digital Journalism, 1-17.
- Primo, A., & Zago, G. (2014). Who And What Do Journalism? Digital Journalism, 3(1), 38–52. doi:10.1080/21670811.2014.927987
- Rusch, T., Hofmarcher, P., Hatzinger, R., & Hornik, K. (2013a). Model trees with topic model preprocessing: An approach for data journalism illustrated with the WikiLeaks
- Silver N., “What the Fox Knows.” FiveThirtyEight. N.p., 17 Mar. 2014. http://fivethirtyeight.com/features/what-the-fox-knows/
- Simon, R. (2011). “Data Journalism at the Guardian: What is It and How Do We Do It?” The Guardian, July 28. http://www.theguardian.com/news/datablog/2011/jul/28/data- journalism.
- Uskali, T. I., & Kuutti, H. (2015). Models and Streams of Data Journalism. The Journal of Media Innovations, 2(1), 77-88.
- Young, M. L., & Hermida, A. (2014). From Mr. and Mrs. Outlier To Central Tendencies. Digital Journalism, (January 2015), 1–17. doi:10.1080/21670811.2014.976409
Books
- Cairo, A. (2012). The Functional Art: An introduction to information graphics and visualization. New Riders.
- Gray, J., Chambers, L., Bounegru, L. (2012). The Data Journalism Handbook. O’Reilly
- Howard, A. B. (2014). The Art and Science of Data-Driven Journalism. New York: Tow Center for Digital Journalism, Columbia University.
- Mair J., Lance R. (2014). Data Journalism. Abramis
- Rogers S. (2013) Fact are Sacred. Faber & Faber