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, 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.
Highlights
Academic Editor: We are living in a world where technology and data guide a large array of decisions in our lives
Our findings brought into perspective newsrooms’ use of artificial intelligence (AI), especially regarding its use Overall, our findings reveal that most AI applications in the news industry are beyond the traditional forms of machine learning applications and natural language probeing developed in two regions: the Americas (43.01%, N = 40) and Europe
This study argues that AI can take different forms in the news industry
Summary
Academic Editor: We are living in a world where technology and data guide a large array of decisions in our lives This means that every industry must adapt and embrace these technologies to become sustainable in the future. News media has been greatly disrupted by the potential of technologically driven approaches in the creation, production, and distribution of news products and services (Hernandez Serrano et al 2015; Örnebring 2010). This can be seen in novel news products and practices such as data journalism The concept of AI refers more narrowly “to a branch of computer science focused on simulating human intelligence”
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