Social media is explosively popular in discussing socio-political issues. This work provides a preliminary study on how polarization occurs online. Chapter I begins by introducing limitations of the internet in maintaining a free flow of information. Not only do users seek out groups of like-minded individuals and insulate themselves from opposing views, social media platforms algorithmically curate content such that it will be in line with a user’s preconceived notions of the world. The work then defines polarization and carefully discusses its most prominent causes. It then shifts focus to analyze a closely-related issue regarding political discourse: outrage, which is both a noticeable effect of and further cause of polarization. It is clearly prevalent in traditional media, but for completion, I provide a case study to measure its incidence in social media. In Chapter II, I scrutinize the language used in the #MeToo movement on Twitter and draw conclusions about the issues Twitter users focus on and how they express their views. This chapter details the method I used, the challenges I faced in designing the exploratory study, and the results I found. I benchmark patterns I find in the Twitterverse against those I find in The Wall Street Journal. The analysis relies upon the metric of word similarity, based on proximity of and frequency of words used together, to make distinctions about what users are most commonly saying with respect to given topics, or keywords. Chapter III closes the essay with conclusions of socio-political polarization, discourse, and outrage in social media. Finally, the essay outlines potential channels for future work.