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Journalism and Media
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Algorithms and Artificial Intelligence in Journalism and Media
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Algorithms and Artificial Intelligence in Journalism and Media

A special issue of Journalism and Media (ISSN 2673-5172).

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 71367

Special Issue Editor

Prof. Jason Whittaker

E-Mail Website
Guest Editor
School of English and Journalism, University of Lincoln, Lincoln LN6 7TS, UK
Interests: the impact of technology on journalism; digital humanities; magazine histories

Special Issue Information

Dear Colleagues,

The past decade has seen an increasing use of automation to influence the production, dissemination and gatekeeping of different forms of journalism. At its most extreme, this takes the form of copy entirely generated by algorithms, but AI is also used to modify the ranking of stories in social media or on sites during the news cycle. As such, this Special Issue of Journalism and Media is concerned with the impact of these new technologies on the production and consumption of journalism and other forms of media.

Journalism and Media is a peer-reviewed, open access journal which focuses on the social, economic, political and cultural dimensions of journalism and media, with special interest in their latest developments and transformations. This Special Issue will explore the impact and effects of artificial intelligence, considering such things as the role that algorithms play in areas such as the writing and production of news stories, their role in disseminating news (whether fake or real), the activities of AI in gatekeeping information across social media sites, how machine learning can transform the production of the news, the role of AI in shaping the user experience and whether AI is a threat or opportunity for journalists.

Prof. Jason Whittaker
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journalism and Media is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • algorithmic journalism
  • AI and fake news
  • algorithmic gatekeeping
  • AI and social media
  • bots and journalism

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Published Papers (3 papers)

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Research

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14 pages, 1265 KiB  
Article
Artificial Intelligence in News Media: Current Perceptions and Future Outlook
by Mathias-Felipe de-Lima-Santos and Wilson Ceron
Journal. Media 2022, 3(1), 13-26; https://doi.org/10.3390/journalmedia3010002 - 30 Dec 2021
Cited by 66 | Viewed by 48270
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Algorithms and Artificial Intelligence in Journalism and Media)
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16 pages, 1744 KiB  
Article
An Affirmative Approach to Teaching Critical Data Studies
by J. J. Sylvia IV
Journal. Media 2021, 2(4), 641-656; https://doi.org/10.3390/journalmedia2040038 - 21 Oct 2021
Viewed by 3738
Abstract
This article proposes an affirmative theoretical framework for teaching students about social media, algorithms, and critical data studies and offers a concrete example of an assignment that can be used to help students better understand how social media sites impact our processes of [...] Read more.
This article proposes an affirmative theoretical framework for teaching students about social media, algorithms, and critical data studies and offers a concrete example of an assignment that can be used to help students better understand how social media sites impact our processes of subjectivation, or how we are created as subjects. This pedagogical approach is situated within larger conversations about how to best approach media literacy, digital literacy, and other emerging 21st century literacies. Drawing upon a pedagogical action research methodology, this article analyzes student projects and reflections to determine how one can actively participate in one’s own processes of subjectivation as they relate to social media, as well as what factors facilitate or limit this ability. I argue that a deeper understanding of how platforms and algorithms function increases one’s ability to intervene in their own processes of subjectivation. Further, I analyze student projects to demonstrate how the assignment helped students better conceptualize the ways that their data were being captured and then used by Facebook. This analysis showed that the inherent for-profit nature of the Facebook platform limits the possibility of intervention ability by design. These results suggest that new approaches to social media platforms, such as those that are non-profit or for the public good, might open further opportunities for more creative interventions. These experimentations at both the level of the user and the platform align well with an affirmative critical theory approach of experimentation and counter-actualization. Full article
(This article belongs to the Special Issue Algorithms and Artificial Intelligence in Journalism and Media)
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Review

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14 pages, 920 KiB  
Review
Algorithmic Journalism—Current Applications and Future Perspectives
by Efthimis Kotenidis and Andreas Veglis
Journal. Media 2021, 2(2), 244-257; https://doi.org/10.3390/journalmedia2020014 - 21 May 2021
Cited by 26 | Viewed by 16448
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Algorithms and Artificial Intelligence in Journalism and Media)
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