This study offers evidence that social media can play a critical role in correcting misinformation as well. To do so, we designed an experiment to take advantage of the new “related stories” function within Facebook which attempts to use an algorithm to match stories in terms of topics. The focus is to understand the role of this function in reinforcing or combating misperceptions. In the stimulated feeds, the participants see a post about the false effects of GMOs and two “related links”– one from snope.com (popular for researches rumors and urban legends) and a second from American Medical Association”– which either both confirm or refute the misperception or a combination where one confirm and another denies or an unrelated condition where the stories do not address the misperception. We found that when the related stories correct the misperception that GMOs can cause illness, they were successful in reducing said misperception. Related stories confirming the misperception or mixed stories have no impact on attitudes. This study was replicated on a more diverse population which had more adults in contrast to students in study 1 and the results were the same as the previous study. While algorithms are often criticized for curating content that prevents people from accessing diverse information, this algorithmic correction reveals a positive effect.