Algorithmic design fuels relapse in eating disorders by prioritizing engagement over health
Original framing: “How social media draws vulnerable users back to eating disorder content – new research” — The Conversation - Global
Rooted in peer‑reviewed research, the article cites empirical findings on engagement‑driven recommendation systems, user‑time metrics, and the correlation between exposure to disordered‑eating content and relapse rates. Its methodological rigor anchors the analysis in scientific evidence.
The article foregrounds a scientifically robust critique of profit‑driven algorithms that echo historic media‑fuelled body ideals, yet it largely omits Indigenous, cross‑cultural, and artistic‑spiritual lenses that could enrich understanding of collective wellbeing.
By integrating marginalised voices and future scenario modelling, we can envision platforms that balance engagement with health through transparent, co‑designed governance. Such systemic reorientation would harness the power of algorithms for healing rather than harm, aligning technological design with holistic, culturally resonant values.