From Data Journalism to Artificial Intelligence: Challenges Faced by La Nación in Implementing Computer Vision in News Reporting

Journalism is at a radical point of change that requires organizations to come up with new ideas and formats for news reporting. Additionally, the notable surge of data, sensors and technological advances in the mobile segment has brought immeasurable benefits to many fields of journalistic practic...

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Autores principales:	Mathias-Felipe de-Lima-Santos, Ramón Salaverría
Formato:	article
Lenguaje:	EN
Publicado:	Universidad de La Sabana 2021
Materias:	Computer vision artificial intelligence machine learning data journalism La Nación technology Communication. Mass media P87-96 Journalism. The periodical press, etc. PN4699-5650
Acceso en línea:	https://doaj.org/article/b01ae3ffb14f4861982bb63787cbf7f6
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spelling	oai:doaj.org-article:b01ae3ffb14f4861982bb63787cbf7f62021-11-05T01:22:21ZFrom Data Journalism to Artificial Intelligence: Challenges Faced by La Nación in Implementing Computer Vision in News Reporting0122-82852027-534Xhttps://doaj.org/article/b01ae3ffb14f4861982bb63787cbf7f62021-11-01T00:00:00Zhttps://palabraclave.unisabana.edu.co/index.php/palabraclave/article/view/15013https://doaj.org/toc/0122-8285https://doaj.org/toc/2027-534X Journalism is at a radical point of change that requires organizations to come up with new ideas and formats for news reporting. Additionally, the notable surge of data, sensors and technological advances in the mobile segment has brought immeasurable benefits to many fields of journalistic practice (data journalism in particular). Given the relative novelty and complexity of implementing artificial intelligence (AI) in journalism, few areas have managed to deploy tailored AI solutions in the media industry. In this study, through a mixed-method approach that combines both participant observations and interviews, we explain the hurdles and obstacles to deploying computer vision news projects, a subset of AI, in a leading Latin American news organization, the Argentine newspaper La Nación. Our results highlight four broad difficulties in implementing computer vision projects that involve satellite imagery: a lack of high-resolution imagery, the unavailability of technological infrastructure, the absence of qualified personnel to develop such codes, and a lengthy and costly implementation process that requires significant investment. This article concludes with a discussion of the centrality of AI solutions in the hands of big tech corporations. Mathias-Felipe de-Lima-SantosRamón SalaverríaUniversidad de La SabanaarticleComputer visionartificial intelligencemachine learningdata journalismLa NacióntechnologyCommunication. Mass mediaP87-96Journalism. The periodical press, etc.PN4699-5650ENPalabra Clave, Vol 24, Iss 3 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer vision artificial intelligence machine learning data journalism La Nación technology Communication. Mass media P87-96 Journalism. The periodical press, etc. PN4699-5650
spellingShingle	Computer vision artificial intelligence machine learning data journalism La Nación technology Communication. Mass media P87-96 Journalism. The periodical press, etc. PN4699-5650 Mathias-Felipe de-Lima-Santos Ramón Salaverría From Data Journalism to Artificial Intelligence: Challenges Faced by La Nación in Implementing Computer Vision in News Reporting
description	Journalism is at a radical point of change that requires organizations to come up with new ideas and formats for news reporting. Additionally, the notable surge of data, sensors and technological advances in the mobile segment has brought immeasurable benefits to many fields of journalistic practice (data journalism in particular). Given the relative novelty and complexity of implementing artificial intelligence (AI) in journalism, few areas have managed to deploy tailored AI solutions in the media industry. In this study, through a mixed-method approach that combines both participant observations and interviews, we explain the hurdles and obstacles to deploying computer vision news projects, a subset of AI, in a leading Latin American news organization, the Argentine newspaper La Nación. Our results highlight four broad difficulties in implementing computer vision projects that involve satellite imagery: a lack of high-resolution imagery, the unavailability of technological infrastructure, the absence of qualified personnel to develop such codes, and a lengthy and costly implementation process that requires significant investment. This article concludes with a discussion of the centrality of AI solutions in the hands of big tech corporations.
format	article
author	Mathias-Felipe de-Lima-Santos Ramón Salaverría
author_facet	Mathias-Felipe de-Lima-Santos Ramón Salaverría
author_sort	Mathias-Felipe de-Lima-Santos
title	From Data Journalism to Artificial Intelligence: Challenges Faced by La Nación in Implementing Computer Vision in News Reporting
title_short	From Data Journalism to Artificial Intelligence: Challenges Faced by La Nación in Implementing Computer Vision in News Reporting
title_full	From Data Journalism to Artificial Intelligence: Challenges Faced by La Nación in Implementing Computer Vision in News Reporting
title_fullStr	From Data Journalism to Artificial Intelligence: Challenges Faced by La Nación in Implementing Computer Vision in News Reporting
title_full_unstemmed	From Data Journalism to Artificial Intelligence: Challenges Faced by La Nación in Implementing Computer Vision in News Reporting
title_sort	from data journalism to artificial intelligence: challenges faced by la nación in implementing computer vision in news reporting
publisher	Universidad de La Sabana
publishDate	2021
url	https://doaj.org/article/b01ae3ffb14f4861982bb63787cbf7f6
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From Data Journalism to Artificial Intelligence: Challenges Faced by La Nación in Implementing Computer Vision in News Reporting

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