Digital Literacy and AI in Media Transformation: Perceptions, Challenges, and Opportunities in Four European Countries

In an era defined by digitization, the media industry struggles to avoid “digital Darwinism.” Our work investigates the current state of digital transformation in four European countries and focuses on digital literacy, artificial intelligence, monetization strategies, and organizational adaptation. We conducted a quantitative survey administered to 148 professionals from 86 media organizations across Greece, France, Portugal, and Cyprus. The results depict a digital transformation in the media industry that has yet to fully embrace the potential of AI and data analytics. Publishers’ hesitation reflects broader concerns about technology’s influence on journalism, although there is widespread interest in exploring how AI can be utilized to enhance the quality of news and boost revenue. The study further delves into digital literacy and highlights the necessity for targeted training in certain areas, since most of the participants are not aware of existing AI tools for journalism and marketing. Furthermore, managers in the media sector seem to ignore the potential for new business models to reconfigure existing profit-making structures and remain focused on advertisements and sponsored content as their principal revenue sources.

Authors

Institutions

Publication Details

Journal
Global Perspectives
Published
2026-01-01
DOI
https://doi.org/10.1525/gp.2026.154028
Primary Topic
Media Studies and Communication
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Literacy and AI in Media Transformation: Perceptions, Challenges, and Opportunities in Four European Countries

Anastasia Karampela, Katerina Mandenaki, Constantinos Mourlas, Catherine Sotirakou
Global Perspectives
Media Studies and Communication
article

Digital Literacy and AI in Media Transformation: Perceptions, Challenges, and Opportunities in Four European Countries

Anastasia Karampela, Katerina Mandenaki, Constantinos Mourlas, Catherine Sotirakou
article en

Abstract

In an era defined by digitization, the media industry struggles to avoid “digital Darwinism.” Our work investigates the current state of digital transformation in four European countries and focuses on digital literacy, artificial intelligence, monetization strategies, and organizational adaptation. We conducted a quantitative survey administered to 148 professionals from 86 media organizations across Greece, France, Portugal, and Cyprus. The results depict a digital transformation in the media industry that has yet to fully embrace the potential of AI and data analytics. Publishers’ hesitation reflects broader concerns about technology’s influence on journalism, although there is widespread interest in exploring how AI can be utilized to enhance the quality of news and boost revenue. The study further delves into digital literacy and highlights the necessity for targeted training in certain areas, since most of the participants are not aware of existing AI tools for journalism and marketing. Furthermore, managers in the media sector seem to ignore the potential for new business models to reconfigure existing profit-making structures and remain focused on advertisements and sponsored content as their principal revenue sources.

Global PerspectivesVol. 7(1)
National and Kapodistrian University of Athens (GR), Frontier Science Foundation-Hellas (GR)
European Commission
Quality Education
Openalex Percentile: Top 94%
Media Studies and Communication
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.