Emerging Technologies in Communication: Best Practices and Theoretical Frameworks for Professional Success

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

Deadline for manuscript submissions: 30 June 2025 | Viewed by 1213

Special Issue Editors


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Guest Editor
Department of Communication Sciences and Public Relations, Faculty of Philosophy and Socio-Political Sciences, Alexandru Ioan Cuza University of Iasi, 700506 Iasi, Romania
Interests: media planning; integrated marketing communications; flow theory; fake news; quantitative research methods

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Research Center of Communication, Ressources Humaines & Intervention Sociale, Paul Valéry University of Montpellier III, 34199 Montpellier, France
Interests: media, religion and politics; religious institutions and organization; mediatization of religion; authority and governance within digital context; public and political communication; epistemology of communication
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
New Media Department, Faculty of Communication, Istanbul Arel University, Istanbul 34537, Turkiye
Interests: media and cultural studies; new media; content analysis

Special Issue Information

Dear Colleagues,

Being an early adopter of emerging technologies has long been regarded as a strategic approach to achieving success in many areas of professional communication. On the one hand, the ability to seize opportunities as they arise positions oneself favourably in a highly competitive market. On the other hand, it can help create and maintain a powerful brand for those practitioners, one associated with high levels of professional competence, openness, and engagement in a continuous learning process — all of which are essential qualities for one’s success in fields such as public relations, advertising, marketing communications, and journalism. However, the past few years have brought unprecedented levels of innovation, with numerous communication tools, hidden by multiple veils of complexity, emerging at an overwhelming pace. Being in touch with all of the novelties and challenges brought by these instruments can now be a full-time endeavour for professionals, as artificial intelligence systems, along with virtual and reality tools, have become a moving target, advancing and changing the rules of the game in real-time.

Communication practitioners are now faced with difficult questions regarding which of these technologies can substantially improve their workflow and which only add to the technological noise interfering with the essence of their work. Even if productivity considerations have encouraged the adoption of AI systems in many areas of professional communication, it is still not certain which tasks can be safely delegated to the technological systems, if one takes into account their oscillating levels of accuracy. As concerns for end-product quality increase in many areas, it becomes clear that most of these new options need a substantial amount of correction on the part of human professionals, which means that new and more important questions arise:

  • Does this change in the nature and the organization of their work impact the levels of motivation and satisfaction that communication professionals feel?
  • Which of the communication professionals will see their work augmented by automated system, and which of them will see it displaced by them?
  • What should professionals do to make themselves more difficult to displace? Should they focus on mastering the supervision of new technologies, or rather focus on developing the uniquely human traits that machines are yet unable to reproduce?
  • Are there areas where professionals can only achieve high levels of skill if they do not rely on technological tools too early in their career development?

To adequately address these questions and go beyond the multitude of speculations around technological innovations, it may be necessary to diversify the existing theoretical frameworks of communication and incorporate perspectives from communication scholars, researchers, and professionals from different cultural backgrounds and whose work spans across different fields of communication. This call thus emphasizes the need to examine theories, concepts, ideas for best practices, and attempts to understand the changing parameters for professional success.

The authors can focus their manuscripts on the following issues and topics:

  • Technological innovations in media.
  • Diversify the existing theoretical frameworks of communication to incorporate the impact of emerging technologies.
  • Various methods for measuring communication success in practice.
  • Communication pathologies trigged by using emerging technologies (i.e., fake news, deep fakes, etc.).
  • New emerging technologies that enhance communication skills.
  • Changes in the communication job market determined by using emerging technologies.
  • The use of new emerging technologies in communication practice raises ethical issues.
  • Gaps between communication theory and practice.
  • New parameters for professional success in communication.

Dr. Daniel-Rareș Obadă
Prof. Dr. Mihaela-Alexandra Tudor
Prof. Dr. Murat Mengu
Guest Editors

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Keywords

  • emerging technologies
  • artificial intelligence
  • artificial intelligence systems
  • strategic communication
  • fake news
  • communication tools
  • communication practices
  • new theoretical models
  • artificially generated content
  • communication pathologies

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Published Papers (2 papers)

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Research

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23 pages, 1018 KiB  
Article
Unveiling the Mechanics of AI Adoption in Journalism: A Multi-Factorial Exploration of Expectation Confirmation, Knowledge Management, and Sustainable Use
by Fangni Li and Hongyu Wang
Journal. Media 2025, 6(2), 65; https://doi.org/10.3390/journalmedia6020065 - 29 Apr 2025
Viewed by 317
Abstract
This study explores the factors influencing the sustainable adoption of AI technologies in journalism. It integrates the expectation confirmation model (ECM)—including expectation confirmation, perceived usefulness, and satisfaction—with knowledge management (KM) features (knowledge sharing, acquisition, and application), and other factors like ease of use, [...] Read more.
This study explores the factors influencing the sustainable adoption of AI technologies in journalism. It integrates the expectation confirmation model (ECM)—including expectation confirmation, perceived usefulness, and satisfaction—with knowledge management (KM) features (knowledge sharing, acquisition, and application), and other factors like ease of use, trust, and technological affinity. Data from an online survey of 396 Chinese journalists using AI for journalistic tasks were analyzed through structural equation modeling. Results show that expectation confirmation significantly influences perceived usefulness, while satisfaction is correlated with expectation confirmation, usefulness, and ease of use. Sustainable use of AI is impacted by usefulness, satisfaction, knowledge management practices, ease of use, trust, and technological affinity, with perceived usefulness being the most significant factor. These findings provide deeper insights into AI adoption in journalism, offering implications for AI developers, media enterprises, and training programs aimed at fostering sustainable AI use in journalism. Full article
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19 pages, 628 KiB  
Review
Reconceptualizing Gatekeeping in the Age of Artificial Intelligence: A Theoretical Exploration of Artificial Intelligence-Driven News Curation and Automated Journalism
by Dan Valeriu Voinea
Journal. Media 2025, 6(2), 68; https://doi.org/10.3390/journalmedia6020068 - 1 May 2025
Viewed by 375
Abstract
Artificial intelligence (AI) is transforming how news is produced, curated, and consumed, challenging traditional gatekeeping theories rooted in human editorial control. We develop a robust theoretical framework to reconceptualize gatekeeping in the AI era. We integrate classic media theories—gatekeeping, agenda-setting, and framing—with contemporary [...] Read more.
Artificial intelligence (AI) is transforming how news is produced, curated, and consumed, challenging traditional gatekeeping theories rooted in human editorial control. We develop a robust theoretical framework to reconceptualize gatekeeping in the AI era. We integrate classic media theories—gatekeeping, agenda-setting, and framing—with contemporary insights from algorithmic news recommender systems, large language model (LLM)–based news writing, and platform studies. Our review reveals that AI-driven content curation systems (e.g., social media feeds, news aggregators) increasingly mediate what news is visible, sometimes reinforcing mainstream agendas, according to Nechushtai & Lewis, while, at other times, introducing new biases or echo chambers. Simultaneously, automated news generation via LLMs raises questions about how training data and optimization goals (engagement vs. diversity) act as new “gatekeepers” in story selection and framing. We found pervasive Simon’s theory that reliance on third-party AI platforms transfers authority from newsrooms, creating power dependencies that may undercut journalistic autonomy. Moreover, adaptive algorithms learn from user behavior, creating feedback loops that dynamically shape news diversity and bias over time. Drawing on communication studies, science & technology studies (STS), and AI ethics, we propose an updated theoretical framework of “algorithmic gatekeeping” that accounts for the hybrid human–AI processes governing news flow. We outline key research gaps—including opaque algorithmic decision-making and normative questions of accountability—and suggest directions for future theory-building to ensure journalism’s core values survive in the age of AI-driven news. Full article
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