Stanford Researchers Unveil Algorithm to Combat Divisive Political Content on X
Stanford University researchers have developed a groundbreaking algorithm to significantly reduce the visibility of divisive political content on the social media platform X, aiming to foster more constructive online discourse. This innovative browser extension, independently tested during the 2024 U.S. presidential election, successfully demonstrated its ability to promote warmer attitudes toward opposing political parties by strategically reordering content.
