Artificial Intelligence (AI) has become a defining force in contemporary journalism, reshaping how news is curated, produced, and consumed. As digital information ecosystems expand, news organisations increasingly rely on algorithms and automated systems to process vast volumes of data, personalise content, and streamline production workflows. Traditional journalism, which prioritised human interpretation and editorial judgement, is now intersecting with machine-driven models that emphasise efficiency, speed, and audiencespecific relevance. AI tools such as Natural Language Processing (NLP), machine learning, and predictive analytics support tasks ranging from real-time news recommendation to automated text generation, enabling media organisations to maintain competitiveness in a rapidly evolving digital environment (Gani & Haddou, 2014). Simultaneously, AI-driven curation systems are redefining gatekeeping roles by determining what news appears before different audiences based on behavioural patterns, engagement metrics, and historical preferences (Diakopoulos, 2019). Although AI enhances newsroom capacities, it also raises ethical concerns related to algorithmic transparency, bias, misinformation risks, and diminishing editorial control. Comparative observations reveal that while traditional journalism excels in contextual interpretation and ethical deliberation, AI-based systems dominate in tasks requiring computation, pattern detection, and speed (Carlson, 2018). Yet, automation cannot replace the nuanced reasoning, cultural understanding, and ethical responsibility inherent to human journalism. Instead, a hybrid model—where human judgement and machine intelligence work collaboratively—appears to be the most sustainable path forward. This study argues that AI represents not only a technological innovation but also a structural shift that compels the re-evaluation of newsroom culture, media ethics, and democratic accountability. By examining how AI transforms both curation and production, this research highlights emerging challenges and opportunities while advocating for responsible frameworks that safeguard journalistic integrity.
Ravi Prakash (2025). The Role of Artificial Intelligence in News Curation and Production: A Comparative Analysis. ResearchPro International Multidisciplinary Journal, 1(2), 7–13. https://doi.org/10.70650/rpimj.2025v1i200002
Ravi Prakash. “The Role of Artificial Intelligence in News Curation and Production: A Comparative Analysis.” ResearchPro International Multidisciplinary Journal, vol. 1, no. 2, 2025, pp. 7–13. https://doi.org/10.70650/rpimj.2025v1i200002
Ravi Prakash. “The Role of Artificial Intelligence in News Curation and Production: A Comparative Analysis.” ResearchPro International Multidisciplinary Journal 1, no. 2 (2025): 7–13. https://doi.org/10.70650/rpimj.2025v1i200002
Ravi Prakash (2025) ‘The Role of Artificial Intelligence in News Curation and Production: A Comparative Analysis’, ResearchPro International Multidisciplinary Journal, 1(2), pp. 7–13. Available at: https://doi.org/10.70650/rpimj.2025v1i200002.
Ravi Prakash, “The Role of Artificial Intelligence in News Curation and Production: A Comparative Analysis,” ResearchPro International Multidisciplinary Journal, vol. 1, no. 2, pp. 7–13, 2025. https://doi.org/10.70650/rpimj.2025v1i200002.
Ravi Prakash. The Role of Artificial Intelligence in News Curation and Production: A Comparative Analysis. ResearchPro International Multidisciplinary Journal. 2025;1(2):7–13. https://doi.org/10.70650/rpimj.2025v1i200002.
Ravi Prakash. The Role of Artificial Intelligence in News Curation and Production: A Comparative Analysis. ResearchPro International Multidisciplinary Journal 2025, 1 (2), 7–13. https://doi.org/10.70650/rpimj.2025v1i200002.
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