Twitter photo crop algorithm age, weight bias
Updated: October 2021
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.
Purpose: Crop images
Technology: Saliency algorithm
Issue: Bias/discrimination - gender, race, age, weight