The Impact of Artificial Intelligence on Global Journalism: An Analytical Study
DOI:
https://doi.org/10.52152/RCR.V12.7Keywords:
Artificial Intelligence, Journalism, Ethical Implications, Audience Engagement, Technological IntegrationAbstract
This paper presents an analytical study on "The Impact of Artificial Intelligence on Global Journalism," exploring the changing trends that AI technologies bring into the journalistic landscape. In essence, the research question that provides the framework for this study is how AI is altering the landscape of journalistic practices, ethics, and audience involvement. The essay tries to bring forth an elaborate understanding of how AI has affected journalism in critical areas like operating efficiency, ethical implications, and future trends. Based on a structured analysis, starting from the introduction through literature review, theoretical frameworks, and discussions, the main findings highlight increased efficiency in news reporting and distinctly changed audience perception towards AI-generated news content. However, issues of transparency, accuracy, and ethical adherence do remain. It highlights that there is a large gap in regional disparities in adoption rates of AI in different contexts. Thus, the landscape is uneven, requiring more detailed exploration. The study sums up that though AI offers promising innovations, a cautious approach is significantly necessary to ensure that journalistic integrity and public trust are maintained. By further examining such implications, the essay insists on the urgent need for an interdisciplinary approach toward the setting of robust ethical frameworks that ought to underpin the responsible integration of AI in journalism.
References
Ahmad, N. B., Haque, S., & Ibahrine, M. (2023). The news ecosystem in the age of AI: Evidence from the UAE. Journal of Broadcasting & Electronic Media, 67, 323-352. https://doi.org/10.1080/08838151.2023.2173197
Alaqil, F., & Lugo-Ocando, J. (2021). Using statistics in business and financial news in the Arabian Gulf: Between normative journalistic professional aspirations and ‘real’ practice. Journalism Practice, 17, 775-798. https://doi.org/10.1080/17512786.2021.1930572
Al-Zubaidy, M., Hogg, H. J., Maniatopoulos, G., Talks, J., Teare, M., Keane, P., & Beyer, F. R. (2021). Stakeholder perspectives on clinical decision support tools to inform clinical artificial intelligence implementation: Protocol for a framework synthesis for qualitative evidence. JMIR Research Protocols, 11. https://doi.org/10.2196/33145
Bélisle-Pipon, J., Powell, M., English, R., Malo, M. F., Ravitsky, V., & Bensoussan, Y. (2024). Stakeholder perspectives on ethical and trustworthy voice AI in health care. Digital Health, 10. https://doi.org/10.1177/20552076241260407
Biloslavo, R., Edgar, D., Aydin, E., & Bulut, C. (2024). Artificial intelligence (AI) and strategic planning process within VUCA environments: A research agenda and guidelines. Management Decision. https://doi.org/10.1108/md-10-2023-1944
Bisiani, S., & Heravi, B. (2023). Uncovering the state of local news databases in the UK: Limitations and impacts on research. Journalism and Media, 4(4), 1211-1231. https://doi.org/10.3390/journalmedia4040077
Bourdieu, P. (1998). On television and journalism. London, UK: Pluto Press.
Brengman, M., Willems, K., Gauquier, L. D., & Vanderborght, B. (2023). Media richness effectiveness: Humanoid robots with or without voice, or just a tablet kiosk?. Psychology & Marketing, 41(4), 734-753.
Canavilhas, J., & Di Fátima, B. (2024). Decoding journalism in the digital age: Self-representation, news quality, and collaboration in Portuguese newsrooms. Journalism and Media, 5(2), 515-525. https://doi.org/10.3390/journalmedia5020034
Cardaş-Răduţa, D. L. (2024). The effectiveness and limitations of artificial intelligence in journalism. Saeculum, 57(1), 111-119. https://doi.org/10.2478/saec-2024-0009
Cheng, S. (2024). When journalism meets AI: Risk or opportunity?. Digital Government: Research and Practice. https://doi.org/10.1145/3665897
Creswell, J. W. (2015). A concise introduction to mixed methods research. Thousand Oaks, CA: Sage.
Dagnino, F., Dimitriadis, Y., Pozzi, F., Rubia-Avi, B., & Asensio-Pérez, J. I. (2020). The role of supporting technologies in a mixed methods research design. Comunicar. https://doi.org/10.3916/c65-2020-05
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Dewey, J. (1927). The public and its problems. New York, NY: Henry Holt & Company.
Foucault, M. (1972). The archaeology of knowledge. New York, NY: Pantheon Books.
Fu, Y., & Stasko, J. (2023). More than data stories: Broadening the role of visualization in contemporary journalism. IEEE Transactions on Visualization and Computer Graphics, 30, 5240-5259. https://doi.org/10.1109/TVCG.2023.3287585
Gómez, E., Brualla-Mora, A., Almunia, N., Jiménez, R., Hickman, C., Har-vardi, I., & Villaquirán, A. M. (2022). P-235 An analysis of qualitative and quantitative morphokinetic parameters automatically annotated using CHLOE (Fairtility), an AI-based tool, finds AI score predictive of blastulation and ploidy. Human Reproduction, 37(Supplement_1). https://doi.org/10.1093/humrep/deac107.225
Gondwe, G. (2023). Mapping AI arguments in journalism studies. https://doi.org/10.48550/arXiv.2309.12357
Gutiérrez-Caneda, B., Vázquez-Herrero, J., & López-García, X. (2023). AI application in journalism: ChatGPT and the uses and risks of an emergent technology. El Profesional De La Información, 32(5). https://doi.org/10.3145/epi.2023.sep.14
Habermas, J. (1984). The theory of communicative action: Reason and the rationalization of society (Vol. 1). Boston, MA: Beacon Press.
Hamilton, L., Elliott, D., Quick, A., Smith, S., & Choplin, V. (2023). Exploring the use of AI in qualitative analysis: A comparative study of guaranteed income data. International Journal of Qualitative Methods, 22. https://doi.org/10.1177/16094069231201504
Heidegger, M. (1977). The question concerning technology, and other essays. New York, NY: Garland Publishing.
Helberger, N., & Diakopoulos, N. (2022). The European AI act and how it matters for research into AI in media and journalism. Digital Journalism, 11, 1751-1760. https://doi.org/10.1080/21670811.2022.2082505
Hermans, L., & Gyldensted, C. (2018). Elements of constructive journalism: Characteristics, practical application and audience valuation. Journalism, 20(4), 535-551. https://doi.org/10.1177/1464884918770537
Holman, L. A., & Perreault, G. (2022). Diffusion of innovations in digital journalism: Technology, roles, and gender in modern newsrooms. Journalism, 24, 938-957. https://doi.org/10.1177/14648849211073441
Husnain, M., Imran, A., & Tareen, H. K. (2024). Artificial intelligence in journalism: Examining prospectus and obstacles for students in the domain of media. Journal of Asian Development Studies, 13(1), 614-625. https://doi.org/10.62345/jads.2024.13.1.51
Jain, N. (2021). Survey versus interviews: Comparing data collection tools for exploratory research. The Qualitative Report, 26(2), 541-554. https://doi.org/10.46743/2160-3715/2021.4492
Johs, A. J., Agosto, D. E., & Weber, R. O. (2022). Explainable artificial intelligence and social science: Further insights for qualitative investigation. Applied AI Letters, 3(1). https://doi.org/10.1002/ail2.64
Karlsson, M., Conill, R. F., & Örnebring, H. (2023). Recoding journalism: Establishing normative dimensions for a twenty-first century news media. Journalism Studies, 24, 553-572. https://doi.org/10.1080/1461670X.2022.2161929
Kim, J. (2023). Traveling AI-essentialism and national AI strategies: A comparison between South Korea and France. Review of Policy Research, 40(5), 705-728. https://doi.org/10.1111/ropr.12552
Kotenidis, E., & Veglis, A. (2021). Algorithmic journalism—Current applications and future perspectives. Journalism and Media, 2(2), 244-257. https://doi.org/10.3390/journalmedia2020014
Kuhn, T. S. (1962). The structure of scientific revolutions. Chicago, IL: University of Chicago Press.
Li, K. (2023). Determinants of college students’ actual use of AI-based systems: An extension of the technology acceptance model. Sustainability, 15(6). https://doi.org/10.3390/su15065221
Mahony, S., & Chen, Q. (2024). Concerns about the role of artificial intelligence in journalism, and media manipulation. Journalism. https://doi.org/10.1177/14648849241263293
Marino, J., & Dowling, D. O. (Eds.). (2024). The art of fact in the digital age: An anthology of new literary journalism. New York, NY: Bloomsbury Academic.
Marshall, C., & Rossman, G. B. (2016). Designing qualitative research (6th ed.). Thousand Oaks, CA: Sage.
McLuhan, M. (1964). Understanding media: The extensions of man. New York, NY: McGraw-Hill.
Miao, Y. (2021, May). Big Data Text Mining techniques in journalism and communication. In 7th International Conference on Humanities and Social Science Research (ICHSSR 2021) (pp. 256-259). Amsterdam, Netherlands: Atlantis Press.
Mocatta, G. (2020). Investigative Journalism, Democracy and the Digital Age, Andrea Carson (2020). Australian Journalism Review, 42(1), 135-136. https://doi.org/10.1386/ajr_00027_5
Neretin, O., Kharchenko, V., & Fesenko, H. (2023, September). Multi-source analysis of AI vulnerabilities: Methodology and algorithms of data collection. In 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) (Vol. 1, pp. 972-977). https://doi.org/10.1109/IDAACS58523.2023.10348671
Noor, R., & Zafar, H. (2023). Use of artificial intelligence in Pakistani journalism: Navigating challenges and future paths in TV newsrooms. Journal of Asian Development Studies. https://doi.org/10.62345/jads.2023.12.3.131
O’Halloran, K., Tan, S., Pham, D. S., Bateman, J., & Moere, A. V. (2018). A digital mixed methods research design: Integrating multimodal analysis with data mining and information visualization for big data analytics. Journal of Mixed Methods Research, 12, 11-30. https://doi.org/10.1177/1558689816651015
Papneja, H., & Yadav, N. (2024). Self-disclosure to conversational AI: A literature review, emergent framework, and directions for future research. Personal and Ubiquitous Computing. https://doi.org/10.1007/s00779-024-01823-7
Partha, S. B., Tabassum, M., Goni, M. A., & Kundu, P. (2024). Artificial intelligence (AI) and future newsrooms: A study on journalists of Bangladesh. Pacific Journalism Review, 30(1-2), 96-110.
Pathak, K. (2024). Global trends and status of drone journalism: A systematic analysis of research constituents and key themes. Global Knowledge, Memory and Communication. https://doi.org/10.1108/gkmc-09-2023-0323
Pavlik, J. (2023). Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education. Journalism & Mass Communication Educator, 78, 84-93. https://doi.org/10.1177/10776958221149577
Popper, K. R. (1959). The logic of scientific discovery. London, UK: Hutchinson.
Prescott, M. R., Yeager, S., Ham, L., Rivera Saldana, C. D., Serrano, V., Narez, J., . . . Montoya, J. (2024). Comparing the efficacy and efficiency of human and generative AI: Qualitative thematic analyses. JMIR AI, 3, e54482. https://doi.org/10.2196/54482
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York, NY: Free Press.
Sahay, R., Sinha, J. K., Kathuria, S., Gehlot, A., Balyan, R., & Pant, G. (2023). Present epoch of replacing journalists with robots. In 2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN) (pp. 135-139). https://doi.org/10.1109/cictn57981.2023.10140663
Seychell, D., Hili, G., Attard, J., & Makantatis, K. (2024). AI as a tool for fair journalism: Case studies from Malta. In 2024 IEEE Conference on Artificial Intelligence (CAI) (pp. 127-132). https://doi.org/10.1109/CAI59869.2024.00032
Sharma, D. L. R., Bidari, S., Bidari, D., Neupane, S., & Sapkota, R. (2023). Exploring the mixed methods research design: Types, purposes, strengths, challenges, and criticisms. Global Academic Journal of Linguistics and Literature, 5(1), 3-12. https://doi.org/10.36348/gajll.2023.v05i01.002
Sheer, V. C. (2020). Media richness theory. The International Encyclopedia of Media Psychology, 1-14. https://doi.org/10.1002/9781119011071.iemp0118
Sonni, A., Putri, V. C. C., & Irwanto, I. (2024). Bibliometric and content analysis of the scientific work on artificial intelligence in journalism. Journalism and Media, 5(2), 787-798. https://doi.org/10.3390/journalmedia5020051
Soto-Sanfiel, M. T., Ibiti, A., Machado, M., Marín Ochoa, B. E., Mendoza Michilot, M., Rosell Arce, C. G., & Angulo-Brunet, A. (2022). In search of the Global South: Assessing attitudes of Latin American journalists to artificial intelligence in journalism. Journalism Studies, 23(10), 1197-1224.
Stalph, F., Thurman, N., & Thäsler-Kordonouri, S. (2023). Exploring audience perceptions of, and preferences for, data-driven ‘quantitative’ journalism. Journalism, 25(7), 1460-1480. https://doi.org/10.1177/14648849231179606
Strategizing about AI technology adoption. (2023). Strategic Direction, 39(7), 30-32. https://doi.org/10.1108/sd-06-2023-0076
Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd ed.). Thousand Oaks, CA: Sage.
Sun, M., Hu, W., & Wu, Y. (2022). Public perceptions and attitudes towards the application of artificial intelligence in journalism: From a China-based survey. Journalism Practice, 18, 548-570. https://doi.org/10.1080/17512786.2022.2055621
Taherdoost, H., & Madanchian, M. (2023). AI advancements: Comparison of innovative techniques. AI, 5(1), 38-54. https://doi.org/10.3390/ai5010003
Ufarte-Ruiz, M., Murcia-Verdú, F. J., & Túñez-López, J. (2023). Use of artificial intelligence in synthetic media: First newsrooms without journalists. El Profesional De La Información, 32(2). https://doi.org/10.3145/epi.2023.mar.03
Wiener, N. (1948). Cybernetics or control and communication in the animal and the machine. Cambridge, MA: MIT Press.
Yadegari, M., Mohammadi, S., & Masoumi, A. (2022). Technology adoption: An analysis of the major models and theories. Technology Analysis & Strategic Management, 36, 1096-1110. https://doi.org/10.1080/09537325.2022.2071255
Yuan, H. (2023). The impact of digital technology on journalism in China today. Media and Communication Research, 4(10), 62-65.
Zhang, H., Wu, C., Xie, J., Lyu, Y., Cai, J., & Carroll, J. M. (2023). Redefining qualitative analysis in the AI era: Utilizing ChatGPT for efficient thematic analysis. https://doi.org/10.48550/arXiv.2309.10771
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