Exploring the Challenges of Generative AI on Public Sector Communication in Europe
Bibliographic Data
| ID | 21224872 |
|---|---|
| Authors | Alessandro Lovari (0000-0002-5877-467X), Fabrizio De Rosa |
| Year | 2025 |
| Volume | 13 |
| Publication date | 2025-05-14 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Media and Communication (JOURNAL) |
| Journal identifiers | ISSN: 2183-2439 • E-ISSN: 2183-2439 |
| Publisher | Cogitatio (PUBLISHER • PT) |
| DOI | 10.17645/mac.9644 |
| OpenAlex | W4410285031 |
| Language | EN |
| Citations received | 3 |
| References cited | 51 |
This study investigates how emerging digital technologies, particularly generative AI tools, are transforming public sector communication in Europe, highlighting the profound intersection between public organizations, AI, and human interactions. In particular, it explores the opportunities and risks that public sector communicators face as they deal with and integrate digital platforms and AI‐driven tools into their strategies and practices in a contemporary scenario characterized by the spread of disinformation and a growing distrust toward institutions. The article gathers insights from in‐depth interviews with leading public sector communicators working for European governments and EU institutions. Findings reveal that generative AI is seen as a transformative tool for governments and public institutions, with communicators emphasizing both benefits and risks, as well as the importance of adopting ethical practices and new responsibilities toward citizens, institutions, and mass media. From the interviews, generative AI tools emerged as game‐changers in message delivery and content production, demanding greater professionalism and new competencies and skills to integrate these technologies into public sector communication strategies and to counteract the threats posed by disinformation campaigns and platformization. The study provides valuable insights into the evolving role of generative AI in public‐sector communication, addressing the scarcity of research in this field. As the adoption of generative AI becomes inevitable, and policy frameworks like the EU AI Act develop, communicators must ensure transparency and trust to align public sector communication with democratic values and foster meaningful dialogue in new digital‐media arenas. Implications for theory and practice are discussed
Economic geography · Generative grammar · Geography · Linguistics · Political science · Public sector · Sociology · Communication · E-Government and Public Services · Ethics and Social Impacts of AI · Law · Misinformation and Its Impacts · Philosophy
In-Depth Interviewing
Artificial Communication
The Hybrid Media System
The Platform Society
Governing digital societies
Designing, developing, and deploying artificial intelligence systems
Opinion Paper
A revised digital media–arena framework guiding strategic communication in digital environments
Artificial intelligence in communication management
AI governance in the public sector
Generative Artificial Intelligence (ChatGPT & Bard) in Public Administration Research
Artificial intelligence and innovation management
Understanding Social Media Logic
Deepfakes on Twitter
Spreading (Dis)Trust
Studying Elites Using Qualitative Methods
Implications of the use of artificial intelligence in public governance
Using social media to enhance citizen engagement with local government
Constraining context
Artificial intelligence and the public arena
Artificial intelligence for the public sector
AI adoption and diffusion in public administration
The strategic use of AI in the public sector
The good, the bad and the ugly
Organizing public sector AI adoption
The impact of chatbots on public service provision
Transforming the communication between citizens and government through AI-guided chatbots
Using thematic analysis in psychology
Observe, inspect, modify
A Scholarly Definition of Artificial Intelligence (AI)
Pseudo-Information, Media, Publics, and the Failing Marketplace of Ideas
The Platformization of the Web
Snowball Sampling
| Citations per year | 3 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |