Artificial Intelligence in Journalism: A Boon or Bane?

Biswal, Santosh Kumar; Gouda, Nikhil Kumar

doi:10.1007/978-981-15-0994-0_10

Cited by 31 publications

(28 citation statements)

References 15 publications

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“…In recent years, newsrooms began to increasingly automate news stories (Linden 2017b). Although machine learning algorithms are used to a certain extent for some of these projects, many projects still rely on simple automation that fills in the blanks of template stories and does not produce stories built on prior data (Biswal and Gouda 2020).…”

Section: Artificial Intelligence In the News Industrymentioning

confidence: 99%

Artificial Intelligence in News Media: Current Perceptions and Future Outlook

de-Lima-Santos

Ceron

2021

Journalism and Media

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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.

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Section: Artificial Intelligence In the News Industrymentioning

confidence: 99%

Artificial Intelligence in News Media: Current Perceptions and Future Outlook

de-Lima-Santos

Ceron

2021

Journalism and Media

View full text Add to dashboard Cite

show abstract

“…We speculate that this might have associated with the fact that it is not easy to replicate NLP models in different languages, such as Portuguese (Rodrigues, Oliveira, and Gomes 2014). Furthermore, automated journalism constitutes a basic application of computational models, which in many cases, are used to fill in the blanks of template stories, instead of adopting machine learning or NLP approaches (Biswal and Gouda 2020).…”

Section: Discussionmentioning

confidence: 99%

“…In recent years, there was a great trend toward the automation of news stories (Linden 2017b). Although there is a certain level of use of machine learning algorithms in some of these projects, many of them still rely on simple automation that fills in the blanks of template stories, instead of producing stories built on prior data (Biswal and Gouda 2020).…”

Section: Artificial Intelligence In the News Industrymentioning

confidence: 99%

Artificial Intelligence in News Media: Current Perceptions and Future Outlook

de-Lima-Santos¹,

Ceron²

2021

Preprint

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In recent years, news media have been hugely disrupted by the potential of technological-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 shown the different approaches that can be achieved using AI. We analyzed the news industry AI adoption based on the seven subfields emanated from 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 more developed in the news media: machine learning, planning, scheduling &amp; optimization, and computer vision. Other areas are still not fully deployed in the journalistic field. Most of the AI news projects rely on funds from tech companies, such as Google. This limits the potential of AI in the news industry to a small number of players. We conclude by providing examples of how these subfields are being developed in journalism and present an agenda for future research.

show abstract

Section: Artificial Intelligence In the News Industrymentioning

confidence: 99%

Artificial Intelligence in News Media: Current Perceptions and Future Outlook

de-Lima-Santos¹,

Ceron²

2021

Preprint

View full text Add to dashboard Cite

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.

show abstract

Artificial Intelligence in Journalism: A Boon or Bane?

Cited by 31 publications

References 15 publications

Artificial Intelligence in News Media: Current Perceptions and Future Outlook

Artificial Intelligence in News Media: Current Perceptions and Future Outlook

Artificial Intelligence in News Media: Current Perceptions and Future Outlook

Artificial Intelligence in News Media: Current Perceptions and Future Outlook

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