Twitter photo crop algorithm age, weight bias

Released: TBC

Can you improve this page?
Share your insights with us

Bogdan Kulynych, a researcher at Switzerland's EPFL university, has won $3,500 for determining that Twitter's image cropping algorithm favours slender, young, lighter coloured females. 

The company's 'saliency' algorithm, which it uses to crop photos and other images on user timelines, had previously come under fire for perceived gender and racial bias, a problem Twitter had publicly confirmed earlier in 2021. 

Operator: Twitter
Developer: Twitter
Country: USA
Sector: Technology
Purpose: Crop images
Technology: Saliency algorithm
Issue: Bias/discrimination - gender, race, age, weight