Version 1
: Received: 30 September 2021 / Approved: 1 October 2021 / Online: 1 October 2021 (13:33:47 CEST)
Version 2
: Received: 19 December 2021 / Approved: 21 December 2021 / Online: 21 December 2021 (14:01:16 CET)
de-Lima-Santos, M.-F.; Ceron, W. Artificial Intelligence in News Media: Current Perceptions and Future Outlook. Journal. Media.2022, 3, 13-26.
de-Lima-Santos, M.-F.; Ceron, W. Artificial Intelligence in News Media: Current Perceptions and Future Outlook. Journal. Media. 2022, 3, 13-26.
de-Lima-Santos, M.-F.; Ceron, W. Artificial Intelligence in News Media: Current Perceptions and Future Outlook. Journal. Media.2022, 3, 13-26.
de-Lima-Santos, M.-F.; Ceron, W. Artificial Intelligence in News Media: Current Perceptions and Future Outlook. Journal. Media. 2022, 3, 13-26.
Abstract
In recent years, news media has been greatly disrupted by the potential of technologically driven approaches in the creation, production, and distribution of news products and services. Artificial intelligence (AI) has emerged from the realm of science fiction and has become a very real tool that can aid society in addressing many issues, including the challenges faced by the news industry. The ubiquity of computing has become apparent and has demonstrated the different approaches that can be achieved using AI. We analyzed the news industry’s AI adoption based on the seven subfields of AI: (i) machine learning; (ii) computer vision (CV); (iii) speech recognition; (iv) natural language processing (NLP); (v) planning, scheduling, and optimization; (vi) expert systems; and (vii) robotics. Our findings suggest that three subfields are being developed more in the news media: machine learning, computer vision, as well as planning, scheduling, and optimization. Other areas have not been fully deployed in the journalistic field. Most AI news projects rely on funds from tech companies such as Google. This limits AI’s potential to a small number of players in the news industry. We make conclusions by providing examples of how these subfields are being developed in journalism and present an agenda for future research.
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Mathias-Felipe de-Lima-Santos
Commenter's Conflict of Interests: Author