Recommender systems on digital platforms, developments in the Ukraine war, and a bilingual American Sign Language-English approach.
How do recommender systems work on digital platforms? News editors once decided which stories should receive the broadest reach. Now, recommender systems determine what content users encounter on online platforms. While these algorithms play a central role in society, they remain poorly understood among both policymakers and the public. In a new explainer, Chris Meserole walks through how these systems operate. Read more | Why does inclusion often neglect the needs of deaf students? A bilingual American Sign Language-English education approach addresses the exclusion deaf children frequently experience in classrooms and school environments—and evades the centuries-long binary trap that insists that deaf people must either learn to speak or learn to sign, not both, writes Roberta Cordano. Read more | The conclusions and recommendations of any Brookings publication are solely those of its author(s), and do not reflect the views of the Institution, its management, or its other scholars. | |