Navigating the brain drain crisis: Knowledge, visibility, sentiment, and divergence on X (formerly Twitter) among English, Spanish, and Italian users

Brain drain, the emigration of highly skilled workers, is both a pressing policy issue and a cultural frame for examining how societies negotiate belonging, loss, and opportunity. Using data from X (formerly known as Twitter) across English, Spanish, and Italian debates, this study examines engagement dynamics through three dimensions: visibility, sentiment shifts, and thematic divergence. In the present context, we define visibility as the weighted exposure of replies and likes that are standardized within each language. The dataset includes approximately 3100 English, 4500 Spanish, and 250 Italian tweet–reply pairs collected between 2020 and 2024. The findings show that visibility consistently drives engagement but carries distinct cultural meanings. The discourse in English illustrates coherence: engagement is amplified when replies remain thematically aligned, reinforcing bonding capital and collective narratives. The Spanish discourse illustrates plurality: visible divergent replies broaden participation, reflecting bridging capital while introducing volatility. The Italian discourse illustrates optimism: positive sentiment shifts sustain institutional trust with divergence. For policymakers, these results highlight the following specific pathways to tailor crisis communication: reinforce coherence in English debates, embrace plurality in Spanish contexts, and sustain optimism in Italian discourse.