Social media has become an important part of our economic, political and social lives. The purpose of the Computational Media Lab is to decipher, interpret and analyze complex forms of engagement in emergent social media platforms that would be challenging to study using traditional research methods. Founded in March 2017, shortly after the 2016 U.S. presidential election, the lab launched projects that seek to understand political discourse, engagement and deliberation in platforms including Twitter, Facebook and Instagram. As an example, in one of our current research projects (led by Margaret Ng), we compare 3 million tweets collected in 2016 during the U.S. presidential election with 3 million tweets collected during the first 30 days of President Donald Trump taking office. We’re using advanced sentiment analysis and topic modeling techniques that leverage the high performance cyberinfrastructure of the Texas Advanced Computing Center (TACC). CML is at the forefront of computational social media research by extending and developing a variety of cutting edge and traditional methods, and we’re creating innovative ways to combine qualitative and mixed methods to offer richer understandings of social communication in social media spaces. Please do get in touch with us via Twitter or email if you are interested in learning more about our work.