This comprehensive article investigates the dynamic integration of Artificial Intelligence (AI) in journalism, tracing its evolution from the initial stages of computer-assisted reporting to the current advanced applications and ethical dilemmas. The paper offers an in-depth analysis of AI’s Impact on journalism, highlighting both the enhancements in efficiency, personalization, and data reporting, as well as the challenges posed by ethical concerns, potential job displacement, and the risks of misinformation. Through a series of case studies, the paper examines real-world applications and controversies surrounding AI in newsrooms, including the use of automated content generation and AI-driven editorial decisions. A critical discussion on ethical considerations is presented, focusing on transparency, accountability, and bias in AI systems and the need for ethical standards and industry-wide collaboration. Looking forward, the article speculates on the future trajectory of AI in journalism, emphasizing the continuous essential role of human journalists and the potential technological advancements. This work underscores the necessity of a balanced approach in harnessing AI’s capabilities in journalism, ensuring that technological progress aligns with maintaining journalistic integrity and ethical standards.
References
[1]
Allison, M. (1986). A Literature Review of Approaches to the Professionalism of Journalists. Journal of Mass Media Ethics, 1, 5-19. https://doi.org/10.1080/08900528609358262
[2]
Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis. Sustainability (Switzerland), 15, Article 12983. https://doi.org/10.3390/su151712983
[3]
Fernando, X., & Lăzăroiu, G. (2023). Spectrum Sensing, Clustering Algorithms, and Energy-Harvesting Technology for Cognitive-Radio-Based Internet-of-Things Networks. Sensors, 23, Article 7792. https://doi.org/10.3390/s23187792
[4]
García-Avilés, J. A. (2014). Online Newsrooms as Communities of Practice: Exploring Digital Journalists’ Applied Ethics. Journal of Mass Media Ethics: Exploring Questions of Media Morality, 29, 258-272. https://doi.org/10.1080/08900523.2014.946600
[5]
Gollmitzer, M. (2023). Journalism Ethics with Foucault: Casually Employed Journalists’ Constructions of Professional Integrity. Journalism, 24, 1015-1033. https://doi.org/10.1177/14648849211036301 https://doi.org/10.3389/frai.2023.1269932
[6]
Jerbi, D. (2023). Exploring the Latest Frontiers of Artificial Intelligence: A Review of Trends and Developments. TechRxiv. https://doi.org/10.36227/techrxiv.22717327
[7]
Kafetzis, D., Vassilaras, S., Vardoulias, G., & Koutsopoulos, I. (2022). Software-Defined Networking Meets Software-Defined Radio in Mobile Ad Hoc Networks: State of the Art and Future Directions. IEEE Access, 10, 9989-10014. https://doi.org/10.1109/ACCESS.2022.3144072
[8]
Li, X. W., Gao, X. S., Liu, Y. T. et al. (2023b). Overlay CR-NOMA Assisted Intelligent Transportation System Networks with Imperfect SIC and CEEs. Chinese Journal of Electronics, 32, 1258-1270. https://doi.org/10.23919/cje.2022.00.071
[9]
Li, Z., Peng, Z., Zhang, Z., Chu, Y., Xu, C., Yao, S., García-Fernández, á. F., Zhu, X., Yue, Y., Levers, A., Zhang, J., & Ma, J. (2023a). Exploring Modern Bathymetry: A Comprehensive Review of Data Acquisition Devices, Model Accuracy, and Interpolation Techniques for Enhanced Underwater Mapping. Frontiers in Marine Science, 10, Article 1178845. https://doi.org/10.3389/fmars.2023.1178845
[10]
Lutz, C. (2019). Digital Inequalities in the Age of Artificial Intelligence and Big Data. Human Behavior and Emerging Technologies, 1, 141-148. https://doi.org/10.1002/hbe2.140
[11]
Muñoz, E. C., Pedraza, G. C., Cubillos-Sánchez, R., Aponte-Moreno, A., & Buitrago, M. E. (2023). PUE Attack Detection by Using DNN and Entropy in Cooperative Mobile Cognitive Radio Networks. Future Internet, 15, Article 202. https://doi.org/10.3390/fi15060202
[12]
Nurelmadina, N., Hasan, M. K., Memon, I., Saeed, R. A., Ariffin, K. A. Z., Ali, E. S., Mokhtar, R. A., Islam, S., Hossain, E., & Hassan, M. A. (2021). A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications. Sustainability (Switzerland), 13, Article 338. https://doi.org/10.3390/su13010338
[13]
Qureshi, M. A., & Tekin, C. (2020). Fast Learning for Dynamic Resource Allocation in AI-Enabled Radio Networks. IEEE Transactions on Cognitive Communications and Networking, 6, 95-110. https://doi.org/10.1109/TCCN.2019.2953607
[14]
Revers, M. (2014). The Twitterization of News Making: Transparency and Journalistic Professionalism. Journal of Communication, 64, 806-826. https://doi.org/10.1111/jcom.12111
[15]
Shah, S. F. A., Ginossar, T., & Ittefaq, M. (2023). “We Always Report under Pressure”: Professionalism and Journalistic Identity among Regional Journalists in a Conflict Zone. Journalism, 24, 709-728. https://doi.org/10.1177/14648849211050442
[16]
Wa Umba, S. M., Abu-Mahfouz, A. M., & Ramotsoela, D. (2022). Artificial Intelligence-Driven Intrusion Detection in Software-Defined Wireless Sensor Networks: Towards Secure IoT-Enabled Healthcare Systems. International Journal of Environmental Research and Public Health, 19, Article 5367. https://doi.org/10.3390/ijerph19095367
[17]
Wang, C. L. (2021). New Frontiers and Future Directions in Interactive Marketing: Inaugural Editorial. Journal of Research in Interactive Marketing, 15, 1-9. https://doi.org/10.1108/JRIM-03-2021-270
