Binary identity models force misrepresentation and can raise harassment risk. Bumble documents gender selection that includes “men, women, nonbinary,” provides a “Tell us if we’re missing something” pathway, and lets users toggle whether gender is shown on profile (product explanation). The company frames the update as making people “across the gender spectrum feel safe and seen” (statement). Lesson: inclusion is a data-model + privacy-default decision, not just more labels in a dropdown.
When systems don’t reflect real identities, users either opt out or accept mislabeling, which can destabilize trust and safety in high-stakes environments like dating. Giving people control over identity disclosure reduces forced exposure while still enabling matching. It also improves product integrity: better identity modeling reduces downstream patchwork fixes (support tickets, abuse reports, workarounds). Build identity systems with optionality, reversible choices, and language that prioritizes user agency over platform convenience.
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