  In order to keep up with the demand of curating the deluge of crowd-sourced
content, social media platforms leverage user interaction feedback to make
decisions about which content to display, highlight, and hide. User
interactions such as likes, votes, clicks, and views are assumed to be a proxy
of a content's quality, popularity, or news-worthiness. In this paper we ask:
how predictable are the interactions of a user on social media? To answer this
question we recorded the clicking, browsing, and voting behavior of 186 Reddit
users over a year. We present interesting descriptive statistics about their
combined 339,270 interactions, and we find that relatively simple models are
able to predict users' individual browse- or vote-interactions with reasonable
accuracy.
