Individuals are often exposed to information they did not actively seek, such as news shared by others, raising the question of how such information environments shape personal information choices. This paper studies how expectations of external information influence agents’ choices of news bias. Extending a standard model of Bayesian learning from biased sources to account for the anticipation of additional information, we show that expected information critically impacts news bias choices. We characterize the optimal learning strategy depending on the decision maker’s prior belief and the structure of the additional information, offering a novel explanation for why people often consume like-minded media news while also engaging with opposing ones. Applying this to social contexts, we find that highly uncertain agents tend to coordinate on the same news bias, whereas relatively certain individuals may opt for opposing ones. We also shed light on how to foster information acquisition among agents with more extreme beliefs.