FeedingBias aims to provide data and analytical tools for a better understanding of incidental exposure to news on social media and the engagement of individuals with news. Our objective is a) to understand the influence of users' socio-demographic characteristics, their political orientation and their level of algorithmic awareness on their exposure to news, and b) to measure the contribution of these exposure and engagement biases on the polarization of the modern public sphere. FeedingBias will be based on recruiting a large sample of social media users responding to a survey and collecting data on their use of Twitter, Youtube and Facebook. All data collected within the framework of FeedingBias will be processed in accordance with the requirements of the GDPR and the research design will be evaluated by the Review Board of University Grenoble Alpes.