Online discussion is one of the commonly used tools to engage users to discuss relevant topics for society, where user contributions in the form of posts, comments and votes are essential to their success. The scale, complexity and dynamism of this information leads to a growing interest in understanding what are the major accepted or rejected opinions in different domains by social network users. In this work, we explore how to combine attack and support interactions to extract possible consensus based on some abstract argumentative semantics, and we characterize the set of properties or postulates that this consensus should satisfy.