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Large Scale Social Media-based Analysis of Human Behavior and Decision-making

People currently spend a significant amount of time on social media. As a result, many aspects of our lives have been digitally captured and continuously archived on social media.   Previous research has shown that information on social media is indicative of who we are (e.g., gender, education and political leaning) and is predictive of our future behavior (e.g., purchase decision). In this research, we aim at developing advanced machine learning algorithms to model the trait and behavior of individuals based on their social media activities (e.g., the messages they post, the things they like and the friends they interact with). We have applied this technique in various tasks such as predicting impulsivity, substance use, authorship, and preferences.  

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