People of Tinder

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People of Tinder is a dataset created in 2016 by software engineer Stuart Colianni that was intended 'to build a better, larger facial dataset' capable of distinguishing between male and female images.

The dataset comprised 40,000 images of people's faces - half women, half men - from the San Francisco area scraped from dating app Tinder.

Facial recognition system

A facial recognition system is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.

Source: Wikipedia πŸ”—

Dataset πŸ€–

Transparency and accountability πŸ™ˆ

The People of Tinder dataset has several transparency limitations:

Risks and harms πŸ›‘

The People of Tinder dataset raised serious ethical and privacy concerns by scraping and sharing personal photos and information from Tinder profiles without users' consent, potentially exposing individuals to harassment, identity theft, and the unintended analysis of their personal data and dating preferences.Β 

Incidents and issues πŸ”₯

Page info
Type: Data
Published: January 2023
Last updated: October 2024