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Raffaele Ciriello

Publications and source records attributed to Raffaele Ciriello.

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Governing Social Media as a Public Utility

Social media platforms connect billions, but their business models often amplify societal harm through misinformation, which is linked to polarization, violence, and declining mental health. Current governance frameworks, such as the U.S. Section 230 and the EU Digital Services Act, delegate content moderation to corporations. This creates structural conflicts of interest because misinformation drives engagement, and engagement drives profit. We propose a public utility model for social media governance that prioritizes the public good over commercial incentives. Integrating legislated content removal with democratic content moderation, the model protects free expression while mitigating societal harms. It frames social media as sovereign digital infrastructure governed through democratic oversight, transparent algorithms, and institutional safeguards.

cs.CY

Not a Silver Bullet for Loneliness: How Attachment and Age Shape Intimacy with AI Companions

Artificial intelligence (AI) companions are increasingly promoted as solutions for loneliness, often overlooking how personal dispositions and life-stage conditions shape artificial intimacy. Because intimacy is a primary coping mechanism for loneliness that varies by attachment style and age, we examine how different types of users form intimate relationships with AI companions in response to loneliness. Drawing on a hermeneutic literature review and a survey of 277 active AI companion users, we develop and test a model in which loneliness predicts intimacy, moderated by attachment insecurity and conditioned by age. Although the cross-sectional data limits causal inference, the results reveal a differentiated pattern. Loneliness is paradoxically associated with reduced intimacy for securely attached users but with increased intimacy for avoidant and ambivalent users, while anxious users show mixed effects. Older adults report higher intimacy even at lower loneliness levels. These findings challenge portrayals of AI companions as universal remedies for loneliness. Instead, artificial intimacy emerges as a sociotechnical process shaped by psychological dispositions and demographic conditions. The study clarifies who is most likely to form intimate relationships with AI companions and highlights ethical risks in commercial models that may capitalise on user vulnerability.

cs.CY