IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v8y2024i12p4264-4272.html
   My bibliography  Save this article

Use of Artificial Intelligence and its Impact on the Media Industry

Author

Listed:
  • MD Nuwan Madduma Bandara

    (University of Colombo, Sri Palee Campus, Sri Lanka)

Abstract

The use of artificial intelligence in the process of human social communication through today’s mass media has grown rapidly. As artificial intelligence continues to spread throughout all aspects of human life, both in terms of potential and challenges in human social communication, the primary objective of this research was to examine the effects of artificial intelligence in media use. The primary research problem of this research was to investigate how artificial intelligence affects the media industry. Identifying the use of artificial intelligence in the media is an intervention in performing important tasks such as communicating with others, planning, and meeting the expected needs in communication. Since the use of artificial intelligence helps to complete the communication tasks in media use faster and more efficiently, it is the hypothesis of this research that it has significantly contributed to the human communication process. Accordingly, this article outlines that various artificial intelligence applications in media use have influenced the human mind to perform productive communication tasks more accurately and faster than the human mind. The research methodology of this research is based on the discourse analysis approach. Accordingly, this paper contributes to the existing literature in identifying the effects of artificial intelligence on media use. Accordingly, this paper is a conceptual paper based on a review of the literature. Discourse analysis is used to identify how the use of artificial intelligence has significantly contributed to the human communication process, as a review of the existing literature suggests that artificial intelligence is used to complete communication tasks in the media faster, more efficiently and effectively. As a primary finding of this research; The advancement of automation and editing capabilities by artificial intelligence-powered technology in the media industry has revolutionized the creation and processing of media content. The use of artificial intelligence has facilitated the customization and personalization of media content creation and distribution spaces, the way consumers consume and distribute media. It has also been recognized that technologies powered by artificial intelligence open up opportunities for improved efficiency, personalization, and user experience. Accordingly, the use of artificial intelligence applications in performing communication tasks in the media sector has been successful, and the primary conclusion was that the trend of using artificial intelligence applications to solve many problems related to those tasks and to obtain results with a high level of efficiency and accuracy has increased.

Suggested Citation

  • MD Nuwan Madduma Bandara, 2024. "Use of Artificial Intelligence and its Impact on the Media Industry," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(12), pages 4264-4272, December.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:12:p:4264-4272
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-8-issue-12/4264-4272.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijriss/articles/use-of-artificial-intelligence-and-its-impact-on-the-media-industry/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    2. Philip Kinghorn, 2015. "Exploring Different Interpretations of the Capability Approach in a Health Care Context: Where Next?," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 16(4), pages 600-616, November.
    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. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
    2. Ekaterina Prytkova, 2021. "ICT's Wide Web: a System-Level Analysis of ICT's Industrial Diffusion with Algorithmic Links," Jena Economics Research Papers 2021-005, Friedrich-Schiller-University Jena.
    3. Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2022. "The empirics of technology, employment and occupations: lessons learned and challenges ahead," DISCE - Working Papers del Dipartimento di Politica Economica dipe0028, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    4. Wang, Jiaxin & Zhao, Mu & Huang, Xiang & Song, Zilong & Sun, Di, 2024. "Supply chain diffusion mechanisms for AI applications: A perspective on audit pricing," International Review of Financial Analysis, Elsevier, vol. 93(C).
    5. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
    6. Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
    7. Nicoletta Corrocher & Daniele Moschella & Jacopo Staccioli & Marco Vivarelli, 2024. "Innovation and the labor market: theory, evidence, and challenges," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 33(3), pages 519-540.
    8. Wang, Li & Wu, Yuhan & Huang, Zeyu & Wang, Yanan, 2024. "Big data application and corporate investment decisions: Evidence from A-share listed companies in China," International Review of Financial Analysis, Elsevier, vol. 94(C).
    9. Erik Brynjolfsson & Wang Jin & Kristina McElheran, 2021. "The power of prediction: predictive analytics, workplace complements, and business performance," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 217-239, October.
    10. Pehr-Johan Norbäck & Lars Persson, 2024. "Why generative AI can make creative destruction more creative but less destructive," Small Business Economics, Springer, vol. 63(1), pages 349-377, June.
    11. Daxing Chen & Helian Xu & Guangya Zhou, 2024. "Has Artificial Intelligence Promoted Manufacturing Servitization: Evidence from Chinese Enterprises," Sustainability, MDPI, vol. 16(6), pages 1-19, March.
    12. Bernardo S Buarque & Ronald B Davies & Ryan M Hynes & Dieter F Kogler, 2020. "OK Computer: the creation and integration of AI in Europe," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 175-192.
    13. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2023. "Similarities and Differences in the Adoption of General Purpose Technologies," NBER Chapters, in: Technology, Productivity, and Economic Growth, National Bureau of Economic Research, Inc.
    14. Martin Beraja & Andrew Kao & David Y Yang & Noam Yuchtman, 2023. "Ai-Tocracy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1349-1402.
    15. Harry Moroz & Mariana Viollaz, 2024. "The Future of Work in Central America and the Dominican Republic," World Bank Publications - Reports 42043, The World Bank Group.
    16. Lucrezia Fanti & Dario Guarascio & Massimo Moggi, 2022. "From Heron of Alexandria to Amazon’s Alexa: a stylized history of AI and its impact on business models, organization and work," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 409-440, September.
    17. Wang, Linhui & Zhao, He & Cao, Zhanglu & Dong, Zhiqing, 2024. "Artificial intelligence and intergenerational occupational mobility," Journal of Asian Economics, Elsevier, vol. 90(C).
    18. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2024. "AI as a new emerging technological paradigm: evidence from global patenting," DISCE - Working Papers del Dipartimento di Politica Economica dipe0038, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    19. Tatsuru Kikuchi, 2024. "Impact Evaluation on the European Privacy Laws governing generative-AI models -- Evidence in Relation between Internet Censorship and the Ban of ChatGPT in Italy," Papers 2407.06495, arXiv.org.
    20. Fossen, Frank M. & McLemore, Trevor & Sorgner, Alina, 2024. "Artificial Intelligence and Entrepreneurship," IZA Discussion Papers 17055, Institute of Labor Economics (IZA).

    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:bcp:journl:v:8:y:2024:i:12:p:4264-4272. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    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.