What Types of Dark Patterns Does Dark Patterns Tip Line Cover?

Updated

Dark Patterns Tip Line organizes the patterns it collects into five everyday categories: Social Media, Smart Devices, Financial & Insurance, Health & Wellness, and Education. Each category pairs a plain-language label for the tactic with a concrete example, so you can compare what you're seeing on a site or app against a known case. The categories are illustrative rather than exhaustive — the site's framing is that dark patterns are "everywhere," so treat these as starting points for recognition, not a complete taxonomy.

The five categories and what each one flags

Category Where it shows up Label used on the site Example given
Social Media Social networks, media-sharing networks, discussion forums, content curation, blogging and publishing platforms "Requires personal data to continue" A social app forces you to connect your social networks to your phone number before you can use the service, or makes the email sign-up option less prominent or hard to find
Smart Devices Smart doorbells, speakers, thermostats, medical sensors, connected security systems "Hidden 'no'" A smart watch asks "Do you want to sign up for daily sleep reminders?" and the no option is very small or hidden
Financial & Insurance Credit score apps, auto insurance online quote processes, online tax services "Auto-bills user without notice" A "free trial" collects personal and payment information, then automatically bills for a paid service without reminding you the trial is ending
Health & Wellness Contact tracing, mental health apps, fitness apps and tracking devices "Can be shared without permission" A mental health app shares data — including details about anxiety and depression — with research institutions by default, without explicitly asking
Education Online learning platforms, children's games with social media components, video content "Personal data can be shared with others" (Example truncated in the source material)

How the examples teach you to spot similar patterns

Each example isolates one design decision, which is what makes the list usable as a recognition tool:

  • The harm is in the default, not the feature. The Health & Wellness example isn't that data can be shared — it's that sharing is the default and consent is never explicitly requested. When you evaluate an app, ask what happens if you do nothing.
  • Look at what's visually de-emphasized. The Smart Devices example turns on the size and placement of the "no" option. If declining is harder to find than accepting, that's the pattern.
  • Check the transition points. The Financial & Insurance example sits at the end of a free trial. Billing that starts without a reminder is the tell.
  • Watch forced steps. The Social Media example blocks service until you hand over a phone number or buries the alternative. If one path is required and the other is hidden, that's the category.

Using the categories to decide whether to report

The site's stated purpose is to collect reports so it can "fight back against companies using manipulative dark patterns." If what you encountered matches a category label — a hidden "no," an unannounced auto-bill, data shared by default, a forced data step — it fits the tip line's scope. The site also notes that dark patterns are "sometimes hard to spot because they're designed to deceive us," which is why the examples are written as specific scenarios rather than abstract definitions: you match your situation to the scenario, not to a legal standard.

If your case doesn't map cleanly onto one of the five categories, the examples still give you the underlying test — does the design push you toward something you probably wouldn't have chosen otherwise? That question is the site's own definition of a dark pattern, and it's the one to apply before deciding whether to file a report.