Research Library

Curated research on screens, social media, AI, and cognition. Each section organizes studies into three tiers: empirical anchors, reviews and policy context, and commentary.

Tier:
Position:
Average associations between general social media/technology use and well-being are small. Stronger signals appear for internalizing symptoms (depression, anxiety), problematic use patterns, specific age/sex windows, and vulnerable subgroups. Causal evidence exists — including natural experiments like Braghieri et al.'s Facebook rollout study — but the stronger claim that social media is *the* primary cause of the post-2012 youth mental-health shift is still not settled. Both sides can cite real data: the correlations exist but are tiny, the experiments show effects but in artificial settings, and the question of whether a small average effect masks serious harm to a vulnerable ~10% of kids (Beyens et al. 2020) remains genuinely unresolved. Twin-study evidence (Sametoğlu et al. 2025) suggests 80–90% of the phenotypic correlation may be genetically confounded. The policy stakes are high — bans are being enacted in multiple countries — while the science remains unsettled.