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Recent research shows that humans are heavily influenced by online socialinteractions: We are more likely to perform actions which, in the past, haveled to positive social feedback. We introduce a quantitative model of behaviorchanges in response to such feedback, drawing on inverse reinforcement learningand studies of human game playing. The model allows us to make predictions,particularly in the context of social media, about which community a user willselect, and to quantify how future selections change based on the feedback auser receives. We show that our model predicts real-world changes in behavioron a dataset gathered from reddit. We also explore how this relatively simplemodel of individual behavior can lead to complex collective dynamics when thereis a population of users, each individual learning in response to feedback andin turn providing feedback to others.

Home Is Where the Up-Votes Are: Behavior Changes in Response to Feedback in Social Media