The Challenges of Journalism in the Age of AI: Information Disorders, Social Gaps and New Opportunities

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

Deadline for manuscript submissions: 28 February 2025 | Viewed by 7761

Special Issue Editors


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Guest Editor
Department of Journalism, School of Social and Communication Sciences, University of the Basque, 48940 Lejona, Vizcaya, Spain
Interests: communication; journalism; online journalism; social innovation; social media
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Journalism, School of Social and Communication Sciences, University of the Basque, 48940 Lejona, Vizcaya, Spain
Interests: digital communication; media; gender; political communication; history of journalism
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Journalism, School of Social and Communication Sciences, University of the Basque, 48940 Lejona, Vizcaya, Spain
Interests: online journalism; teaching innovation; gender; social communication
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The emergence of new generative AI tools has transformed the media landscape. Its adoption seems to be rapid and inevitable, and will transversally affect all areas of news production, distribution, and consumption.

For media, this new stage in the digitalization process that has transformed the media ecosystem in recent decades presents challenges and opportunities. On the one hand, the adoption of AI can allow for the optimization of media resources to render them more efficient and avoid the economic difficulties they face, as well as generate new professional profiles and offer new possibilities for connecting with their audiences. These changes could also be beneficial for professionals since journalists could eventually be freed from more routine tasks, and these changes could even improve the conditions under which they prepare information.

On the other hand, for professionals, the incorporation of AI can also pose risks of job insecurity and job cuts, and, as concerns audiences, it can incorporate new biases and gaps in information and increase exposure to information disorders or polarization.

Given this technological development led by the largest technological platforms, it is interesting to redirect attention away from technocentric perspectives and instead reflect on the social impact that the implementation of AI will have on media professionals, on the production and distribution of news, and on audiences.

For these reasons, this Special Issue analyzes the way in which new technological advances influence information disorders or digital divides, either combating them or contributing to their increase. In this Special Issue, analyzing the impact of the adoption of AI in the field of media as well as on actors in the information process is proposed, with special focus on journalists themselves and audiences in particular.

Prof. Dr. Simón Peña-Fernández
Prof. Dr. Ainara Larrondo-Ureta
Prof. Dr. Koldobika Meso-Ayerdi
Guest Editors

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Keywords

  • AI
  • information disorders
  • polarization
  • social gaps
  • journalism
  • social media
  • news
  • algorithms
  • audiences

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Published Papers (3 papers)

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Research

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17 pages, 1817 KiB  
Article
Integrating Artificial Intelligence and Big Data in Spanish Journalism Education: A Curricular Analysis
by Santiago Tejedor, Laura Cervi, Luis M. Romero-Rodríguez and Stephanie Vick
Journal. Media 2024, 5(4), 1607-1623; https://doi.org/10.3390/journalmedia5040100 - 31 Oct 2024
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Abstract
Artificial intelligence (AI) and big data have impacted different professional sectors in our society. Communication and journalism are clearly among them. From the automatic generation of content to the identification of topics of interest or monitoring of users’ usage habits, AI introduces important [...] Read more.
Artificial intelligence (AI) and big data have impacted different professional sectors in our society. Communication and journalism are clearly among them. From the automatic generation of content to the identification of topics of interest or monitoring of users’ usage habits, AI introduces important training challenges for professionals in the field of communication. Meanwhile, big data analytics enables data journalists to handle large amounts of information in an automated manner, allowing them to perform in-depth analysis of disorganized data. This study analyzes the integration of artificial intelligence (AI) and big data in the curricula of journalism degrees offered by Spanish universities. The research employs quantitative and qualitative methods to examine the typology, syllabus, and distribution of subjects directly or indirectly addressing AI and big data topics, based on indicators such as structure, credit system, objectives, competencies, and professional profiles. The results reveal a scarce integration of AI and Big Data subjects in journalism curricula in Spain. Among the analyzed courses, only seven addressed data journalism as a complete course, while 19 introduced AI and Big Data as part of more general content. The study highlights the need for journalism education to adapt to the disruptive impact of AI and big data on the profession. It discusses the debate between focusing on teaching technological skills versus providing critical and ethical values. The research aims to contribute to the discussion on the readiness of journalism curricula to cope with technological advancements by analyzing the Spanish case. Full article
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18 pages, 345 KiB  
Article
Framing Income Inequality: How the Spanish Media Reported on Disparities during the First Year of the Pandemic
by Javier Odriozola-Chéné and Rosa Pérez-Arozamena
Journal. Media 2024, 5(3), 933-950; https://doi.org/10.3390/journalmedia5030059 - 11 Jul 2024
Viewed by 933
Abstract
This paper addresses the problem of how Spanish digital media reported income inequality during the first year of the COVID-19 pandemic. In this way, the goal was to study the framing of definition, contextual aspects, and depth. For this article, a tool was [...] Read more.
This paper addresses the problem of how Spanish digital media reported income inequality during the first year of the COVID-19 pandemic. In this way, the goal was to study the framing of definition, contextual aspects, and depth. For this article, a tool was designed to analyse the content of the items. An analysis of news published by six digital media in Spain from March 2020 to February 2021 was conducted using content analysis. Within a sample of 2727 media stories in which there was a connection between the coronavirus and inequality, a stratified sample was used (n = 958) according to the content production by quarter and by media. The results of this study show that income inequality was the most common type of inequality reported in the media, and they cantered more on the micro level. Also, it appeared to be linked to the social gap and showed poverty as the main consequence. The frame was focused on social issues, international and national contexts, and expert sources. Finally, different levels of depth can be observed in the news items analysed, depending on the frame. Full article

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17 pages, 2059 KiB  
Systematic Review
Digital Newsroom Transformation: A Systematic Review of the Impact of Artificial Intelligence on Journalistic Practices, News Narratives, and Ethical Challenges
by Alem Febri Sonni, Hasdiyanto Hafied, Irwanto Irwanto and Rido Latuheru
Journal. Media 2024, 5(4), 1554-1570; https://doi.org/10.3390/journalmedia5040097 - 22 Oct 2024
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Abstract
Artificial Intelligence (AI) fundamentally changes journalism, yet a comprehensive understanding of its impact is limited. This study presents the first systematic review to thoroughly analyze the influence of AI on journalistic practices, news narratives, and emerging ethical challenges. A rigorous analysis of 127 [...] Read more.
Artificial Intelligence (AI) fundamentally changes journalism, yet a comprehensive understanding of its impact is limited. This study presents the first systematic review to thoroughly analyze the influence of AI on journalistic practices, news narratives, and emerging ethical challenges. A rigorous analysis of 127 studies selected from 2478 original articles reveals trends in AI adoption in newsrooms, changes in journalists’ roles, innovations in news presentation, and emerging ethical implications. The key findings show a significant increase in the use of AI for news writing automation (73% of news organizations), data analysis (68%), and content personalization (62%). While AI improves efficiency and accuracy, 42% of studies reported concerns about reduced levels of nuance and context in AI-generated news. We also identified the emergence of hybrid “journalist–programmer” roles (52% of studies) and the need for “AI literacy” among journalists (38% of studies). The most prominent ethical challenges include algorithm transparency (82% of studies), data privacy (76%), and accountability relative to AI content (71%). Regional analysis reveals significant gaps in AI adoption, with important implications for global information equity. This review highlights the ongoing transformation in journalism, identifies critical gaps in current research, and offers an agenda for future investigation. Our findings provide valuable insights for media practitioners, policymakers, and researchers seeking to understand and shape the future of journalism in the age of AI. Full article
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