The National Centre for Social Research (EKKE) places rapid socio-technological developments at the epicenter of scientific analysis, with the aim of boosting evidence-based digital policy-making and responding to the need for reliable, comparative and forward-looking knowledge about internet use in Greece. Therefore, since 2015, it has taken the initiative to conduct large-scale research with the main field of study recording the penetration and multiple effects of the internet and its infrastructure in Greek society. Specifically, the World Internet Project Greece (WIP-GR) empirical sample survey is implemented by EKKE and is part of the World Internet Project (WIP), an international partnership of universities and research centers consisting of more than 30 countries on different continents. It is an international research project that started in 1999 and is led by the Annenberg School Center for the Digital Future of the University of Southern California (USA), under Professor Jeffrey Cole. The WIP-GR 2025 study focuses on the emerging public attitudes toward artificial intelligence, with particular emphasis on generative AI, digital literacy, and privacy, as well as attitudes toward online information, algorithms, and social media. Based on a large-scale, representative sample, the study reveals significant asymmetries in knowledge and skills, especially among different household and social groups, along with growing concerns about privacy and low trust in corporate actors. Despite broad agreement that AI could improve efficiency, many individuals remain concerned about its potential social impacts, such as widespread unemployment and violations of privacy. The analysis highlights key barriers to the country’s digital transition, including digital distrust, deficits in digital readiness and education, and the perceived inadequacy of oversight regarding AI and data-driven technologies. he study concludes with targeted insights for forward-looking digital policy, digital cohesion and inclusion, and the empowerment of citizens in the age of artificial intelligence.
Non-probability: Quota
Telephone interview: Computer-assisted (CATI)
Self-administered questionnaire: Web-based (CAWI)
