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Dating Apps Are Running Out of Excuses on User Data

Dating Apps Are Running Out of Excuses on User Data
Interest|Mobile Apps

Privacy Can No Longer Be an Add‑On in Dating Apps

Dating app privacy refers to the policies, technical settings, and business choices that determine how dating platforms collect, share, and monetize intimate user data, including identity, location, health information, and behavioral patterns, and whether meaningful protection is turned on by default or left as a confusing, optional setting for individuals to discover and manage themselves.

The central argument emerging from recent pressure on dating platforms is blunt: data protection must be the default, not a buried toggle. A leading digital-rights group has used Pride month to call on Grindr to “make privacy the default” and stop sharing personal data with advertisers or training AI on private information without opt-in consent. The reason is not abstract. Grindr serves LGBTQ+ users, and for queer people, exposure of sexual orientation, gender identity, or HIV status can trigger harassment, discrimination, arrest, or violence. Treating privacy as an optional feature in this context is less a design decision than a safety failure. Dating apps built on behavioral advertising and opaque tracking now have to answer a basic question: whose interests come first when intimacy meets data mining?

Dating Apps Are Running Out of Excuses on User Data

Grindr as Case Study: When Data Trails Become Danger

Grindr shows how user data sharing can move from creepy to catastrophic. Despite branding itself as the world’s most popular gay dating app, Grindr has repeatedly mishandled sensitive data, including sharing users’ HIV status and precise location with advertisers without valid consent, drawing reprimands and fines in multiple jurisdictions. Between roughly 2017 and 2020, a location data broker collected the precise movements of millions of Grindr users from advertising networks and sold access to this information. That kind of mobile app data protection failure is not theoretical; data from Grindr and other gay dating apps was used by data brokers to out a gay priest in 2021. When one app session can ping 20 third-party tracking domains in 15 minutes, the idea that users control their own exposure is a fiction. For LGBTQ+ communities, that fiction can have life-altering consequences.

According to one privacy investigation, “Using TrackerControl, researchers recorded Grindr contacting 20 third-party tracking domains during just 15 minutes of app activity.” That single sentence captures how quickly intimate data leaks into an ad-tech ecosystem that users never see and cannot meaningfully audit.

Dating Apps Are Running Out of Excuses on User Data

Profit, AI, and the Illusion of Consent

Grindr’s current model illustrates how dating apps try to balance safety with data monetization—and often tip toward the latter. The company lets users opt out of behavioral advertising, but this protection is not turned on automatically except in some unspecified regions. Behavioral ads depend on sharing personal data across advertisers, intermediaries, and data brokers, where it can be aggregated and sold into detailed profiles. Grindr acknowledges that it shares mobile advertising identifiers with partners, and those companies “are aware that such data is being transmitted from Grindr,” meaning a user’s sexuality can be exposed to the broader data broker ecosystem.

On top of this, Grindr is becoming an “AI-first business,” rolling out AI-powered chatbots, profile recommendations based on inferred “type,” and insights about responsiveness and online patterns. By default, personal data like profile photos, age, taps, and display names are used to train these models unless users dig through several layers of settings to opt out. Its former Chief Privacy Officer has even sued, alleging the company fired him for challenging a culture that prioritized “profit over privacy”. Opt-outs buried in menus are not consent; they are legal cover for surveillance.

Dating Apps Are Running Out of Excuses on User Data

Goose and the Next Wave of Trust Problems

New entrants are not automatically safer. Goose, a gay dating and friendship app, launched with a promise of lasting connections and quickly climbed to number four in the App Store’s free lifestyle downloads and 33rd in lifestyle globally. But its growth strategy sparked alarm: a network of attractive Instagram accounts, later flagged as AI-generated, promoted the app through Close Friends Stories and direct messages to gay men. Miles and Daniel, two such “influencers,” were called out when a user on X alleged the app “use[s] AI models to promote fake interest #goose” and shared screengrabs of their promotions.

Often these accounts followed potential members, added them to Close Friends, or contacted them directly, as in the case of a marketing professional who received a recruitment DM from @lucalepkowski. The problem is not only deception; it is the signal it sends about values. If an app begins by manipulating attention with synthetic personas, why should users trust its claims about dating app privacy, mobile app data protection, or LGBTQ+ app safety once their data is inside?

From Campaigns to Consequences: What Must Change

The message from privacy advocates is clear: dating apps must flip the default. This Pride month campaign demands Grindr opt users out of behavioral advertising and AI training on personal data by default, rather than making protection something users must hunt for. Advocates argue that the ability to opt out is not an acceptable substitute for opt-in consent, especially given the heightened risks LGBTQ+ users face from any user data sharing with advertisers and third parties.

Regulatory reprimands and fines have already forced Grindr to end some of its worst practices, and public campaigns are raising the cost of ignoring user safety. But the real shift will come when platforms accept that their core product is trust, not targeted ads. Dating apps that keep treating privacy as a settings-page afterthought will bleed credibility. Those that build business models around default protection—and transparent, limited data use—will set the new standard for user safety in intimate spaces.

Milik earns a commission when you shop through our links, at no extra cost to you. This article was generated with AI from published sources and product data.

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