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Royal blasingame

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Royal blasingame

  1. 1. Data Journalism: An Explication Cindy Royal, Associate Professor - @cindyroyal Dale Blasingame, Lecturer - @daleblasingame Texas State University
  2. 2. Data Journalism: An Explication What is Data Journalism?  Process or Product?  Roles or Skills?  Who does it affect?  Is it really anything new at all?  All of the above
  3. 3. Data Journalism: An Explication Method  Concept explication with grounded theory  Identification of sources  Identification of assertions  Word frequency analysis  Coding of dimensions  Development of conceptual definition
  4. 4. Data Journalism: An Explication Video Interviews
  5. 5. Data Journalism: An Explication
  6. 6. Data Journalism: An Explication
  7. 7. Data Journalism: An Explication
  8. 8. Data Journalism: An Explication Process  [Data journalism is] “a reporting process that uses spreadsheet programs to generate statistics from public records and data sets" (Hackett, 2013)  [Data journalism is] “the aggregating, filtering, and visualizing of large sets of data, based on statistical methods of data analysis” (Dreyfus, S., Lederman, R., & Bosua, R., 2011).  "I would say data journalism is such a wide range now of styles - from visualisation to long form articles. The key thing they have in common is that they're based on numbers and statistics - and that they should aim to get a 'story' from that data. The ultimate display of that story, be it words or graphics, is irrelevant, I think - it's more about the process" (Rogers, 2012).
  9. 9. Data Journalism: An Explication Product  “Data journalism can help a journalist tell a complex story through engaging infographics” (Gray, J., Bounegru, L., & Chambers, L., 2012).  “Data journalism — interactives, infographics, charts and tables — were tapped to convey factual aspects like historical timelines and status of gun control policy” (Xie, 2013).  “Some stories are just better told as databases and interactive web apps” (Betancourt, 2009).
  10. 10. Data Journalism: An Explication Convergence of Fields  “Data journalism is ‘incomprehensibly enormous,’ in part because it represents the convergence of several fields — programming, design, statistics and investigative research, to name a few” (Bradshaw, 2010).  “In the hands of the most advanced practitioners, data journalism is a powerful tool that integrates computer science, statistics, and decades of learning from the social sciences in making sense of huge databases” (Howard, Art and Sciences, 2014).  “Data journalism is currently an emerging form of storytelling, where traditional journalistic working methods are mixed with data analysis, programming and visualization techniques” (Appelgren & Nygren, 2014).
  11. 11. Data Journalism: An Explication Traditional  “Data journalism and its practice are not new, along with existing critiques of its practices or of programming in journalism generally “(Howard, Debugging the Backlash, 2014).  “One of the editors points out that analyzing data is not in itself something new for journalists, however, the new tools that are currently available speed up the process of working with large data sets” (Appelgren, E., & Nygren, G., 2014)  "What makes data journalism different to the rest of journalism? Perhaps it is the new possibilities that open up when you combine the traditional ‘nose for news’ and ability to tell a compelling story, with the sheer scale and range of digital information now available” (Gray, J., Bounegru, L., & Chambers, L., 2012).
  12. 12. Data Journalism: An Explication Outside Influence  “It can help explain how a story relates to an individual” (Gray, J., Bounegru, L., & Chambers, L., 2012).  "Data-driven journalism” improves the way journalism can contribute to democracy – especially at a time when a growing number of data sets are released by governments" (Parasie & Dagiral, 2013).  “After all, programming and data are journalism. And it can be practiced in such a way that it can create interaction, user engagement, and more information in terms of seeking the truth. Especially when you talk about Freedom of Information access to government data — if the public can have access to that in a way that makes sense to them, or in a way that’s easy for them to use, then that’s just really powerful” (Royal in Garber, 2010).
  13. 13. Data Journalism: An Explication Skills  “I think schools are making a better effort to train young journalists in many of the skills that fall under the umbrella of data journalism: data wrangling, analysis, visualization; statistics; digital literacy (how does the Web work?); Web development” (Howard, Profile of the Data Journalist, 2014).  Data journalism is a new set of skills for searching, understanding and visualizing digital sources in a time that basic skills from traditional journalism just aren’t enough (Gray, J., Bounegru, L., & Chambers, L., 2012).  "Emergence of a new generation of web-based technologies that have made the presentation and visualization of data- driven stories easy even for those with no database or web development experience" (Vallance-Jones, F., 2013).
  14. 14. Data Journalism: An Explication Hybrid  “Data journalism is bridging the gap between stat technicians and wordsmiths, locating outliers and identifying trends that are not just statistically significant, but relevant to de-compiling the inherently complex world of today.” (Gray, J., Bounegru, L., & Chambers, L., 2012).  “Sourcing, reporting and presenting stories through data-driven journalism, and visualising and presenting data (including databases, mapping and other interactive graphics)" (Arthur, 2010).
  15. 15. Data Journalism: An Explication Comprehensive Definition Data journalism is a process by which analysis and presentation of data are employed to better inform and engage the public. Its roots are in the fields of computer-assisted and investigative reporting, but data journalism products may add engagement through customization and user contribution made possible by Web development and programming techniques.

Editor's Notes

  • Few studies, but recently an issue in Digital Journalism
    My study of NYT presented here in 2010
    French scholars Parasie and Dagiral on Chicago Tribune
    Much change has occurred, more organizations telling stories with data, seeking resources
  • What is data journalism?
    What are the skills necessary to perform data journalism?
    What trends do you see for the future of data journalism?
  • Comprehensive definition may not be suitable for all purposes, this study provides a way to understand different aspects
    New and rapidly changing
    Lack of aptitude in the profession in working with numbers
    Data becoming important not only for storytelling, but for strategy and decision-making using analytics
    Tech culture vs journalism culture
    What this analysis does is provide a more nuanced and systematic understanding of data journalism as a research area within the realm of journalism scholarship.

    Roles are in demand

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