IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v54y2018icp47-51.html
   My bibliography  Save this article

Artificial intelligence and sports journalism: Is it a sweeping change?

Author

Listed:
  • Galily, Yair

Abstract

The availability of data feeds, the demand for news on mobile devices, and advances in algorithms are helping to make automated journalism more prevalent. Against the specific backdrop of sports journalism's content, means of production and consumption, the question the paper answers is whether the recent introduction of automatically produced content is merely another evolutionary stage in the field of sport journalism, or has it triggered a revolution that can be defined literally as a sweeping change, both related to production and consumption, in this area?

Suggested Citation

  • Galily, Yair, 2018. "Artificial intelligence and sports journalism: Is it a sweeping change?," Technology in Society, Elsevier, vol. 54(C), pages 47-51.
  • Handle: RePEc:eee:teinso:v:54:y:2018:i:c:p:47-51
    DOI: 10.1016/j.techsoc.2018.03.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X17302907
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2018.03.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Laor, Tal & Galily, Yair, 2020. "Offline VS online: Attitude and behavior of journalists in social media era," Technology in Society, Elsevier, vol. 61(C).
    2. Song Wei & Kuili Wang & Xiangliang Li, 2022. "Design and implementation of college sports training system based on artificial intelligence," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 971-977, December.
    3. Wei Zhang & José Manuel Pérez Tornero & Qiusheng Tian, 2023. "Dissecting Automated News Production From a Transdisciplinary Perspective: Methodology, Linguistic Application, and Narrative Genres," SAGE Open, , vol. 13(4), pages 21582440231, October.
    4. Iyinolakan, Olayinka, 2023. "Exploring the Potential of Artificial Intelligence for Supporting Indigenous Language Journalism Pedagogy in Nigeria," AfricArxiv jak43, Center for Open Science.
    5. Jessica Kunert, 2020. "Automation in Sports Reporting: Strategies of Data Providers, Software Providers, and Media Outlets," Media and Communication, Cogitatio Press, vol. 8(3), pages 5-15.
    6. Hsu, Eric L. & Elliott, Anthony & Ishii, Yukari & Sawai, Atsushi & Katagiri, Masataka, 2020. "The development of aged care robots in Japan as a varied process," Technology in Society, Elsevier, vol. 63(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schulte, Patrick, 2015. "Does skill-biased technical change diffuse internationally?," ZEW Discussion Papers 15-088, ZEW - Leibniz Centre for European Economic Research.
    2. Jae Song & David J Price & Fatih Guvenen & Nicholas Bloom & Till von Wachter, 2019. "Firming Up Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 1-50.
    3. Tommaso AGASISTI & Geraint JOHNES & Marco PACCAGNELLA, 2021. "Tasks, occupations and wages in OECD countries," International Labour Review, International Labour Organization, vol. 160(1), pages 85-112, March.
    4. Francesco Trebbi & Miao Ben Zhang, 2022. "The Cost of Regulatory Compliance in the United States," NBER Working Papers 30691, National Bureau of Economic Research, Inc.
    5. Loebbing, Jonas, 2018. "An Elementary Theory of Endogenous Technical Change and Wage Inequality," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181603, Verein für Socialpolitik / German Economic Association.
    6. Keller, Elisa, 2019. "Labor supply and gender differences in occupational choice," European Economic Review, Elsevier, vol. 115(C), pages 221-241.
    7. Ellis Scharfenaker, Markus P.A. Schneider, 2019. "Labor Market Segmentation and the Distribution of Income: New Evidence from Internal Census Bureau Data," Working Paper Series, Department of Economics, University of Utah 2019_08, University of Utah, Department of Economics.
    8. Bloom, Nicholas & Hassan, Tarek Alexander & Kalyani, Aakash & Lerner, Josh & Tahoun, Ahmed, 2021. "The diffusion of disruptive technologies," LSE Research Online Documents on Economics 113870, London School of Economics and Political Science, LSE Library.
    9. Davoine, Thomas & Mankart, Jochen, 2017. "Changes in education, wage inequality and working hours over time," Discussion Papers 38/2017, Deutsche Bundesbank.
    10. Rosario Crinò & Paolo Epifani, 2014. "Trade Imbalances, Export Structure and Wage Inequality," Economic Journal, Royal Economic Society, vol. 0(576), pages 507-539, May.
    11. Lewandowski, Piotr & Lipowska, Katarzyna & Smoter, Mateusz, 2023. "Mismatch in preferences for working from home: Evidence from discrete choice experiments with workers and employers," Ruhr Economic Papers 1026, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    12. Iftekhairul Islam & Fahad Shaon, 2020. "If the Prospect of Some Occupations Are Stagnating With Technological Advancement? A Task Attribute Approach to Detect Employment Vulnerability," Papers 2001.02783, arXiv.org.
    13. Pierre M. Picard & Alessandro Tampieri, 2016. "Income Effects and Vertical Differentiation in International Trade," DEM Discussion Paper Series 16-05, Department of Economics at the University of Luxembourg.
    14. Boddin, Dominik & Henze, Philipp, 2015. "International trade and the occupational mix in manufacturing: Evidence from german micro data," Economics Working Papers 2015-05, Christian-Albrechts-University of Kiel, Department of Economics.
    15. John Carter Braxton & Kyle F. Herkenhoff & Jonathan Rothbaum & Lawrence Schmidt, 2021. "Changing Income Risk across the US Skill Distribution: Evidence from a Generalized Kalman Filter," Opportunity and Inclusive Growth Institute Working Papers 55, Federal Reserve Bank of Minneapolis.
    16. repec:gdk:wpaper:51 is not listed on IDEAS
    17. Francisco H G Ferreira & Sergio P Firpo & Julián Messina, 2022. "Labor Market Experience and Falling Earnings Inequality in Brazil: 1995–2012," The World Bank Economic Review, World Bank, vol. 36(1), pages 37-67.
    18. Franzini, Maurizio & Raitano, Michele, 2019. "Earnings inequality and workers’ skills in Italy," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 215-224.
    19. David Hémous & Morten Olsen, 2022. "The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(1), pages 179-223, January.
    20. Battisti, Michele & Gatto, Massimo Del & Parmeter, Christopher F., 2022. "Skill-biased technical change and labor market inefficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    21. Bo E. Honoré & Luojia Hu, 2023. "The COVID-19 pandemic and Asian American employment," Empirical Economics, Springer, vol. 64(5), pages 2053-2083, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:54:y:2018:i:c:p:47-51. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.