Online reviews now have a considerable influence on consumer choices. However, little work has focused on what features of review platforms influence review quality. We present a novel approach to identify the features that encourage quality reviews. By interpreting reviews as arguments for or against the product, an argument scheme can be used to simulate the emergent reliability of reviews resulting from different setups of the online review platform. Our results show that if the most recent, helpful, or polarised reviews are promoted over quality, then good quality reviews will almost never be shown to users.