The Field’s New Research Frontier: From Social Networks to AI Systems

Europe’s cyberpsychology community is undergoing a significant methodological shift. The latest issue of Cyberpsychology: Journal of Psychosocial Research on Cyberspace (Volume 20, 2026) reveals that the field is moving beyond traditional social media studies to examine how generative AI systems like ChatGPT influence user behavior and mental wellbeing.

The journal’s expanded research agenda now encompasses qualitative investigations of ChatGPT interactions alongside established areas like adolescent mobile habits and prosocial/antisocial online behavior. This pivot reflects an urgent recognition within European academic circles: as AI systems become embedded in everyday digital life, psychological research must evolve in parallel.

Why This Matters Now

The timing is critical. Young people are increasingly interacting with AI chatbots for academic support, emotional processing, and social connection. Yet the psychological literature on these interactions remains sparse. By pivoting toward AI-behavior research, European cyberpsychology is attempting to fill a significant evidence gap before problematic usage patterns become entrenched.

Dr Lisa Orchard from the University of Wolverhampton, a key voice on the British Psychological Society’s Cyberpsychology Section committee, is helping shape this direction ahead of the BPS’s July 2026 Annual Conference. The conference itself is expected to prominently feature discussions on AI’s impact on mental health research—signaling institutional commitment to the field’s reorientation.

What This Means for Practitioners and Policymakers

For mental health professionals working with young people, this research agenda provides validation: concerns about AI-mediated social interactions aren’t speculative—they’re now attracting peer-reviewed scrutiny. This lends weight to clinical interventions addressing digital wellbeing in the age of generative AI.

For policymakers working within the EU AI Act framework, these research developments offer crucial baseline data. Understanding how users psychologically respond to AI systems directly informs risk assessment and transparency requirements for high-risk AI applications.

For tech builders, the shift signals that European researchers are moving beyond criticism to deeper understanding. Cyberpsychology research can illuminate how UI design, conversational patterns, and system transparency affect user wellbeing—insights that inform responsible AI development practices.

The Influencer Dimension

Parallel to AI research, the journal is deepening focus on social media influencers’ mental health messaging. This reflects recognition that influencer-mediated content shapes behavioral norms for adolescents—particularly concerning when combined with algorithmic amplification and undisclosed commercial incentives.

Outstanding Questions

  • How do ChatGPT interactions differ psychologically from peer-to-peer social media engagement?
  • What measurement frameworks can capture subtle mental health impacts of AI chatbots over time?
  • How should informed consent work when users don’t fully understand AI system limitations?
  • Can European research standards inform EU AI Act transparency requirements for consumer-facing systems?

The field’s reorientation suggests that cyberpsychology in 2026 is becoming more predictive than reactive—attempting to understand emerging harms before they scale.

Source: Cyberpsychology: Journal of Psychosocial Research on Cyberspace