Using the photo-sharing site Instagram as a test case, researchers demonstrate how two common recommendation algorithms amplify a network effect known as homophily in which similar or like-minded people cluster together. They further show how algorithms turned loose on a network with homophily effectively make women less visible; they found that the women in their dataset, whose photos were slightly less likely to be ‘liked’ or commented on, became even less popular once recommendation algorithms were introduced.