IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v11y2022i9p414-d910300.html
   My bibliography  Save this article

Applications of Big Data in Media Organizations

Author

Listed:
  • Andreas Veglis

    (Media Informatics Lab, School of Journalism & Mass Communication, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Theodora Saridou

    (Media Informatics Lab, School of Journalism & Mass Communication, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Kosmas Panagiotidis

    (Media Informatics Lab, School of Journalism & Mass Communication, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Christina Karypidou

    (Media Informatics Lab, School of Journalism & Mass Communication, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Efthimis Kotenidis

    (Media Informatics Lab, School of Journalism & Mass Communication, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

Abstract

The exploitation of data in the media industry has always played a significant role. This is especially evident today, since data (and in many cases big data) are generated through various activities that relate to the production and also consumption of news. This paper attempts to highlight the importance of big data utilization in the media industry. Specifically, it discusses cases of big data exploitation, such as media content consumption and management, data journalism production, social content utilization, and participatory journalism applications. The study also examines the changes that big data has introduced in all stages of the journalism practice, from news production to news distribution, by utilizing the available tools. Finally, it discusses new developments that relate to semantic web (Web 3.0) technologies, which have already started to be adopted by media organizations around the world.

Suggested Citation

  • Andreas Veglis & Theodora Saridou & Kosmas Panagiotidis & Christina Karypidou & Efthimis Kotenidis, 2022. "Applications of Big Data in Media Organizations," Social Sciences, MDPI, vol. 11(9), pages 1-13, September.
  • Handle: RePEc:gam:jscscx:v:11:y:2022:i:9:p:414-:d:910300
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/11/9/414/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2076-0760/11/9/414/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andreas Veglis & Theodora A. Maniou, 2019. "Chatbots on the Rise: A New Narrative in Journalism," Studies in Media and Communication, Redfame publishing, vol. 7(1), pages 1-6, June.
    2. Sabina-Cristiana NECULA, 2020. "Semantic Web Applications: Current Trends in Datasets, Tools and Technologies’ Development for Linked Open Data," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 24(4), pages 72-84.
    3. Martin Hilbert, 2016. "Big Data for Development: A Review of Promises and Challenges," Development Policy Review, Overseas Development Institute, vol. 34(1), pages 135-174, January.
    4. Olga Kalatzi & Charalampos Bratsas & Andreas Veglis, 2018. "The Principles, Features and Techniques of Data Journalism," Studies in Media and Communication, Redfame publishing, vol. 6(2), pages 36-44, December.
    Full references (including those not matched with items on IDEAS)

    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. Theodora A. Maniou & Andreas Veglis, 2020. "Employing a Chatbot for News Dissemination during Crisis: Design, Implementation and Evaluation," Future Internet, MDPI, vol. 12(7), pages 1-14, June.
    2. Luyu Liu & Harvey J Miller, 2021. "Measuring risk of missing transfers in public transit systems using high-resolution schedule and real-time bus location data," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3140-3156, November.
    3. Martin Hilbert, 2017. "Complementary Variety: When Can Cooperation in Uncertain Environments Outperform Competitive Selection?," Complexity, Hindawi, vol. 2017, pages 1-15, September.
    4. Anke Joubert & Matthias Murawski & Markus Bick, 2023. "Measuring the Big Data Readiness of Developing Countries – Index Development and its Application to Africa," Information Systems Frontiers, Springer, vol. 25(1), pages 327-350, February.
    5. Raymond Lang & Marguerite Schneider & Maria Kett & Ellie Cole & Nora Groce, 2019. "Policy development: An analysis of disability inclusion in a selection of African Union policies," Development Policy Review, Overseas Development Institute, vol. 37(2), pages 155-175, March.
    6. Makoza, Frank, 2023. "Analyzing policy change of Malawi ICT and Digitalization policy: Policy Assemblage Perspective," EconStor Preprints 273309, ZBW - Leibniz Information Centre for Economics.
    7. Chu Ping Lo, 2024. "Digitalization, AI Intensity, and International Trade," Annals of Economics and Finance, Society for AEF, vol. 25(1), pages 251-273, May.
    8. Yang, Jun & Yang, Dingjian & Cheng, Jixin, 2024. "The non-rivalry of data, directed technical change and the environment: A theoretical study incorporating data as a production factor," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 417-448.
    9. Richard Heeks & Vanya Rakesh & Ritam Sengupta & Sumandro Chattapadhyay & Christopher Foster, 2021. "Datafication, value and power in developing countries: Big data in two Indian public service organizations," Development Policy Review, Overseas Development Institute, vol. 39(1), pages 82-102, January.
    10. Evangelos Lamprou & Nikos Antonopoulos, 2023. "Ranked by Truth Metrics: A New Communication Method Approach, on Crowd-Sourced Fact-Checking Platforms for Journalistic and Social Media Content," Studies in Media and Communication, Redfame publishing, vol. 11(6), pages 231-243, September.
    11. Małgorzata Dobrowolska & Mariola Paruzel-Czachura & Marta Stasiła-Sieradzka, 2018. "Perception of Limitations by Individuals Threatened with Social Exclusion upon Entering Employment: Report on a Study of Individuals with Chronic Mental Illnesses," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 4, ejes_v4_i.
    12. Jingmei Gao & Zahid Sarwar, 2024. "How do firms create business value and dynamic capabilities by leveraging big data analytics management capability?," Information Technology and Management, Springer, vol. 25(3), pages 283-304, September.
    13. Jing Xu & Huijun Zhang, 2020. "Environmental Activism and Big Data: Building Green Social Capital in China," Sustainability, MDPI, vol. 12(8), pages 1-24, April.
    14. Secundo, Giustina & Riad Shams, S.M. & Nucci, Francesco, 2021. "Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management," Journal of Business Research, Elsevier, vol. 131(C), pages 563-572.
    15. Rafael Prieto Curiel & Stefano Cresci & Cristina Ioana Muntean & Steven Richard Bishop, 2020. "Crime and its fear in social media," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-12, December.
    16. Johannes Wachs & Mih'aly Fazekas & J'anos Kert'esz, 2019. "Corruption Risk in Contracting Markets: A Network Science Perspective," Papers 1909.08664, arXiv.org.
    17. Badr Bentalha, 2020. "Big-Data and Service Supply chain management: Challenges and opportunities [Big-Data et Service Supply chain management: Challenges et opportunités]," Post-Print hal-02680861, HAL.
    18. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    19. Bar-Gil, Oshri & Ron, Tom & Czerniak, Ofir, 2024. "AI for the people? Embedding AI ethics in HR and people analytics projects," Technology in Society, Elsevier, vol. 77(C).
    20. Hilbert, Martin, 2016. "The bad news is that the digital access divide is here to stay: Domestically installed bandwidths among 172 countries for 1986–2014," Telecommunications Policy, Elsevier, vol. 40(6), pages 567-581.

    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:gam:jscscx:v:11:y:2022:i:9:p:414-:d:910300. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.