Artificial Intelligence and Automated Journalism: Contemporary Challenges and New Opportunities

Ali, Waleed; Hassoun, Mohamed

doi:10.20431/2454-9479.0501004

Cited by 25 publications

(13 citation statements)

References 22 publications

(27 reference statements)

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“…The automation of the news creation process is perhaps the most important-and as a result, the most controversial-of all the fields of application for algorithmic technology in journalism (Montal and Reich 2017;Schapals and Porlezza 2020). In the grand scheme of things, this particular field of application is considered a relatively recent development in the field of journalism (Ali and Hassoun 2019;Graefe 2016) and it consists mainly of algorithms and automated software that are capable of creating news stories on their own (Diakopoulos 2019).…”

Section: Automated Content Productionmentioning

confidence: 99%

“…The adoption of these technologies by the journalistic profession brought with it a number of advantages, including a significant increase in productivity thanks to the publishing of stories without any human intervention (Ali and Hassoun 2019) as well as the ability to allow journalists to redefine their core skill set (Van Dalen 2012) and provide them with more creative freedom in their work (Milosavljević and Vobič 2019), since computers were able to execute part of their responsibilities by taking over routine tasks (Glahn 1970). Those advantages also seem to coincide with the increasingly high market demands for fast and accurate news stories, making algorithmic news production even more beneficial (Clerwall 2014;Diakopoulos 2019).…”

Section: Automated Content Productionmentioning

confidence: 99%

“…The fact that these programs lack traits such as creativity, flexibility and analytical thinking is an important factor that separates them from humans (Van Dalen 2012); as such, these technologies do not present an immediate threat to the practitioners of the journalistic profession (Ali and Hassoun 2019).…”

Section: Automated Content Productionmentioning

confidence: 99%

“…Despite all of the above, algorithmic technology remains a very promising field when it comes to the evolution of the profession and researchers believe that artificial intelligence and automation will help journalists overcome some of the fundamental problems contemporary journalism is faced with, such as the overabundance of information and the related credibility issues (Ali and Hassoun 2019). Even though the introduction of more sophisticated news algorithms down the line is bound to cause some turbulence in the industry, in a similar way to almost all other professional fields impacted by automation (Ford 2015), it is widely believed that the potential that these programs carry along with them will help journalists to produce news at a quicker pace, on a larger scale and with fewer errors overall (Lewis et al 2019).…”

Section: Challenges and Potential Future Implementationsmentioning

confidence: 99%

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Algorithmic Journalism—Current Applications and Future Perspectives

Kotenidis

Veglis

2021

Journalism and Media

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Journalism, more so than other professions, is entangled with technology in a unique and profoundly impactful way. In this context, the technological developments of the past decades have fundamentally impacted the journalistic profession in more ways than one, opening up new possibilities and simultaneously creating a number of concerns for people working in the media industry. The changes that were brought about by the rise of automation and algorithmic technology can mainly be observed in four distinct fields of application within journalism: automated content production, data mining, news dissemination and content optimization. This article focuses on algorithmic journalism and aims to highlight the ways that algorithmic technology is being utilized within those fields, as well as pointing out the ways in which these developments have altered the way journalism is being exercised in the modern world. The study also discusses challenges related to these technologies that are yet to be addressed, as well as potential future implementations related to algorithmic journalism that have the capacity to improve on the foundation of automation in the news industry.

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Section: Automated Content Productionmentioning

confidence: 99%

Section: Automated Content Productionmentioning

confidence: 99%

Section: Automated Content Productionmentioning

confidence: 99%

Section: Challenges and Potential Future Implementationsmentioning

confidence: 99%

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Algorithmic Journalism—Current Applications and Future Perspectives

Kotenidis

Veglis

2021

Journalism and Media

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“…Su presencia en las redacciones periodísticas ha despertado el interés académico desde diversos prismas (Calvo-Rubio y Ufarte-Ruiz, 2021;Parrat-Fernández et al, 2021;Túñez, 2021). Así, se han analizado las posibilidades que ofrece para combatir la desinformación (Manfredi y Ufarte, 2020), los profundos cambios que va a suponer, incluso en el diseño de las redacciones (Ali y Hassoun, 2019) o la oportunidad que representa para los medios de comunicación, en un momento en el que estos necesitan una rápida generación de contenidos con menores costes de producción (Montal y Reich, 2016).…”

Section: Introductionunclassified

Análisis comparado de la calidad de crónicas deportivas elaboradas por inteligencia artificial y periodistas

Verdú

Antón

Rubio

2022

RLCS

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Introducción: En los últimos años se ha normalizado la presencia de programas de inteligencia artificial en las redacciones periodísticas, lo que ha permitido la redacción de textos a través de algoritmos. La presente investigación analiza las características de las crónicas deportivas realizadas por inteligencia artificial, comparándolas con las realizadas por periodistas. El objetivo es conocer si este tipo de textos cuentan con los mismos estándares de calidad de los que disponen las crónicas realizadas por periodistas. Metodología: La metodología empleada parte del análisis de contenido de 28 crónicas periodísticas, 14 escritos por periodistas y 14 escritos mediante programas de inteligencia artificial. En todos los casos se trata de crónicas deportivas sobre partidos correspondientes a la Liga de Fútbol Profesional (de primera y segunda división). Resultados: Los resultados demuestran que los textos generados mediante la inteligencia artificial son eficaces a la hora de recoger y ordenar datos, así como dar a conocer las acciones del juego. Sin embargo, carecen de muchas de las cualidades de la crónica deportiva, presentes en los textos firmados por periodistas. Conclusiones: Las crónicas producidas por la inteligencia artificial no suponen un aporte de calidad al género periodístico, careciendo de carácter analítico o interpretativo, en ambos casos, cualidades presentes tradicionalmente en el periodismo deportivo.

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