In an interesting development in the wake of a bias controversy over its cropping algorithm, Twitter has said it’s considering giving users decision-making power over how tweet previews look, saying it wants to decrease its reliance on machine learning-based image cropping.
Twitter also concedes it should have published details of its bias testing process before launching the algorithmic cropping tool — in order that its processes could have been externally interrogated.
Story continuesWe saw your Tweets about the harm caused by how images are cropped on Twitter.
For our initial bias analysis, we tested pairwise preference between two demographic groups (White-Black, White-Indian, White-Asian and male-female).
In each trial, we combined two faces into the same image, with their order randomized, then computed the saliency map over the combined image.