Lokeswari, K. and D, Priyanka (2025) Artificial Intelligence in Online Journalism: A New Paradigm of Communication. International Journal of Innovative Science and Research Technology, 10 (3): 25mar1860. pp. 3175-3182. ISSN 2456-2165
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Abstract
The digital age has brought about a significant shift in journalism, characterized by the integration of artificial intelligence (AI) and the influential role of online platforms. This paper delves into the diverse impact of AI on online journalism, emphasizing its potential to transform news production, distribution, and audience interaction. Technologies such as natural language processing and machine learning enable real-time data analysis, automated content creation, and tailored news delivery, leading to substantial changes in journalistic practices. The paper also explores the progression of journalism from traditional forms to a digital-first approach, illustrating how AI assists journalists in managing extensive data while addressing issues such as algorithmic biases, misinformation, and ethical challenges. The growth of participatory journalism, fuelled by social media and online platforms, is another focus, highlighting how these tools promote community involvement and reader engagement in the digital media landscape. While AI boosts efficiency and accessibility, it also requires a careful balance between technological innovation and the preservation of core journalistic values. The study emphasizes the need for establishing ethical guidelines and enhancing journalists' skills to successfully navigate the complexities of the AI-driven digital era. By examining these elements, the paper provides valuable insights into the evolving relationship between AI and online journalism, shedding light on its transformative influence on modern communication.
Item Type: | Article |
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Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 19 Apr 2025 10:16 |
Last Modified: | 19 Apr 2025 10:16 |
URI: | https://eprint.ijisrt.org/id/eprint/481 |