Perception of Journalists about the Use and Effects of Artificial Intelligence in the Newsroom: A Case of District Lahore
DOI:
https://doi.org/10.62843/jrsr/2026.5a190Keywords:
Journalists, DOI, Lahore, Artificial IntelligenceAbstract
This research has identified the perception of journalists about the use and the impact of Artificial intelligence in Newsroom. The researcher has taken Lahore based journalists as participants. The researcher has been concerned only with how newsrooms create, curate, and consume news with Artificial intelligence. The aim of this research has been to explore the usage of AI technology adoption, the impact of communication channel and factors that affect the classification of journalists. To process this purpose of study the researcher has picked diffusion of innovation theory as theoretical framework. Diffusion of innovation theory will help to identify the adoption process of Artificial intelligence in newsroom. Through DOI the researcher will achieve the adopter category as innovators, early adopters, early majority, late majority, and laggards. Therefore, the achievement process will be done through the qualitative methodology. In qualitative methodology the researcher has used thematic analysis and has implemented themes on six journalists as participants. Furthermore, theme analysis has been beneficial to identify the challenges in adoption, perceived benefits from AI, ethical consideration, willingness to use AI, innovation, and transformation on journalism.
References
Allen, B., McGough, A. S., & Devlin, M. (2022). Towards a framework for teaching AI to a HE audience. ACM Transactions on Computing Education, 22(2), 1–29. https://doi.org/10.1145/3485062
Amponsah, P. N., & Atianashie, A. M. (2024). Navigating the new frontier: A comprehensive review of AI in journalism. Advances in Journalism and Communication, 12(1), 1-17. https://doi.org/10.4236/ajc.2024.121001
Azizov, D. (2024). From Idioms to Algorithms: Translating Culture-Specific Expressions in AI Systems. Iconic Research And Engineering Journals, 7(10), 543-551. https://www.irejournals.com/paper-details/1708158
Braun, V., & Clarke, V. (2006). Thematic Analysis: An application within the field of Psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(4), 616-630. https://doi.org/10.1007/s11528-022-00715-y
de-Lima-Santos, M. F., & Ceron, W. (2021). Artificial intelligence in news media: Current perceptions and future outlook. Journalism and media, 3(1), 13-26.Diakopoulos, N. (2019). Introduction to automation and future of journalism. Routledge.
Diakopoulos, N., & Johnson, D. (2021). Anticipating and addressing the ethical implications of deepfakes in the context of elections. New Media & Society, 23(7), 2072–2098. https://doi.org/10.1177/1461444820925811
Dinçer, E. (2024). Hard and soft skills revisited: Journalism education at the dawn of Artificial Intelligence. Adnan Menderes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 11(1), 65–78. https://doi.org/10.30803/adusobed.1462061
García-Orosa, B., López-García, X., & Vázquez-Herrero, J. (2020). Journalism in digital native media: Beyond technological determinism. Media and communication, 8(2), 5-15. https://doi.org/10.17645/mac.v8i2.2702
Guzman, A. L., & Lewis, S. C. (2020). Artificial Intelligence and Communication: the way to a human–machine communication framework. New Media & Society, 22(1), 70–86. https://doi.org/10.1177/1461444819858691
Hafied, H., Irwanto, I., Surjatmodjo, D., & Latuheru, R. (2025). AI-driven media evolution: exploring automated journalism’s impact on industry’s future. Jurnal Kajian Jurnalisme, 8(2), 205-218. https://doi.org/10.24198/jkj.v8i2.53801
Helberger, N. (2021). On the democratic role of news recommenders. In Algorithms, automation, and news (pp. 14-33). Routledge.
Liao, Q. V., & Vaughan, J. W. (2024). AI transparency in the age of llms: A human-centered research roadmap. Harvard Data Science Review, (Special Issue 5). https://doi.org/10.1162/99608f92.8036d03b
Marconi, F. (2020). Newsmakers: Artificial intelligence and the future of journalism. Columbia University Press.
Newman, N. (2023). Digital News Report 2023. Reuters Institute for the Study of Journalism. https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2023
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. In Algorithms of oppression. New York university press.
Pavlik, J. V. (2023). Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education. Journalism & mass communication educator, 78(1), 84-93. https://doi.org/10.1177/10776958221149577
Qureshi, M., & Tekin, T. (2020). The roadmap to the future of AI in Pakistani media: challenges and opportunities. Asian Journal of Communication, 30(3), 254–270.
Rogers, R. (2009). The end of the virtual: Digital methods (Vol. 339). Amsterdam University Press.
Safori, A., Habes, M., Alzobi, A., & Ali, M. (2024). An analysis of television news media and its impact on public life. In Artificial Intelligence and Economic Sustainability in the Era of Industrial Revolution 5.0 (pp. 1071-1082). Cham: Springer Nature Switzerland.
Schiff, D. (2022). Education for AI, not AI for education – the role of education and ethics in national AI policy strategies. International Journal of Artificial Intelligence in Education, 32, 527–563. https://doi.org/10.1007/s40593-021-00270-2
Sharma, S., & Sharma, A. (2024). Insights into customer engagement in a mobile app context: review and research agenda. Cogent Business & Management, 11(1), 2382922. https://doi.org/10.1080/23311975.2024.2382922
Siddiqui, R., Zafar, A., & Qazi, A. (2023). Artificial Intelligence And The Future Of Healthcare In Pakistan: Opportunities And Challenges. Journal of Pakistan Medical Association, 73(10), 1944-1944.
Wu, S., Tandoc Jr, E. C., & Salmon, C. T. (2019). When journalism and automation intersect: Assessing the influence of the technological field on contemporary newsrooms. Journalism practice, 13(10), 1238-1254. https://doi.org/10.1080/17512786.2019.1585198
Yuan, F., Shi, R., & Li, Z. (2024). AI-assisted news content creation: Enhancing journalistic efficiency and content quality through automated summarization and headline generation. Applied and Computational Engineering, 94, 112-117. https://doi.org/10.54254/2755-2721/97/2024MELB0086
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
