On Wednesday, the social media platform announced that it had analysed the algorithm after getting feedback that it “didn’t serve all people equitably”. After reviewing the model over several months, it discovered that the image-cropping algorithm chose points of focus on pictures, which Twitter calls the saliency, and found occasional instances of bias in cropped pictures in favour of women and lighter skin tones. According to the finding, there was an 8 per cent difference from demographic parity in favour of women, 4 per cent difference in favour of white individuals overall while comparisons of white and black women showed a difference of seven per cent in favour of white women. In comparisons of black and white men, there was a 2 per cent difference in favour of white men.