iBias: Harnessing the Effects of Algorithmic Bias in Online Social Networks

DNDS will develop a data-driven modelling framework to emulate the effect of algorithmic bias on the way people interact and share information in online social networks. By systematically analysing many filtering algorithms and diverse social behaviors, DNDS will devise tools to discover bias in algorithms, quantify it, and potentially correct it. Our project has the potential to inform the development of science-based policies to foster a healthy flow of information in our modern digital ecosystems.