Ranking systems play a crucial role in shaping the online information landscape. These black-box algorithms utilize observable information on users' preferences and passions and recommend new friends/followees to users, sort out contents in users' news feeds, or even hint users what political opinions they have at the moment. Despite their importance in understanding the dynamics of social processes in the online domain, we still know very little about their organization. This paper attempts to fill this gap in the scientific knowledge and identifies a very specific ranking algorithm - the algorithm that sorts out comments under posts on social network VKontakte, a Russian popular online media platform. To this end, we located the set of