Artificial Intelligence in News Media

Current Perceptions and Future Outlook

Bibliographic Data

ID23345404
AuthorsMathias-Felipe De-Lima-Santos (0000-0001-8879-7381, Universidad de Navarra, corresponding author), Wilson Ceron (0000-0002-4373-1757, Universidade Federal de São Paulo)
Year2021
Volume3
Issue1
Pages13-26
Publication date2021-12-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournalism and Media (JOURNAL)
Journal identifiersISSN: 2673-5172 • E-ISSN: 2673-5172
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/journalmedia3010002
OpenAlexW4226338178
LanguageEN
Citations received70
References cited46

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, and 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 made conclusions by providing examples of how these subfields are being developed in journalism and presented an agenda for future research.

Advertising · Applications of artificial intelligence · Business · Data science · Field (mathematics) · Journalism · Machine learning · Political science · Realm · Robot · Robotics · Scheduling (production processes) · Artificial Intelligence · Big Data and Business Intelligence · Big Data Technologies and Applications · Computational and Text Analysis Methods · Computer Science · Engineering

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