"We are either kings or pawns of men," said Napoleon Bonaparte. In his famous quote, he describes possibly the biggest challenge facing humanity as we move into a world driven by ever smarter, more manipulative technology. Are we truly in control of our destiny or is something else secretly pulling our strings? As technology advances, we are quickly becoming slaves to it, unaware of our intentional manipulation. It could be a simple post on Facebook only visible to those targeted or an automated response to your political tweet intentionally trying to anger you for the express purpose of affecting your choice to vote for a particular candidate.

According to the World Bank, risky behaviors are increasingly widespread globally and pose a growing threat to individual health and society. Recently, a number of studies have been done to study risky behaviors, such as understanding illicit drug use behaviors using social media data, and predicting drinking behavior and alcohol-related problems among fraternity and sorority members. However, the majority of the related work only focuses on one risky behavior. Research in clinical psychology and public health domains tell us that there may exist some correlations among risk behaviors. In this paper, in order to support and utilize this correlation, we investigate five risky behaviors: drug consumption, drinking, sleep disorder, depression, and eating disorder. We utilize Instagram data to discover the correlation between those five risk behaviors and employ multi-task machine learning techniques to predict the potential risk behaviors in the near future for the Instagram users.