Following the events of the 2016 United States Presidential election, evidence emerged of a Russian-led effort to influence the American people via social media. Through a Kremlin-backed organization known as the Internet Research Agency (IRA), computational propaganda was conducted against the American people on a variety of social media platforms including Facebook, Instagram, YouTube, and Twitter. As part of the ongoing Mueller Investigation and in the name of political transparency, Twitter released a data archive of Tweets and user information for bot and troll accounts linked to the IRA. Prior research completed by data scientists at the University of Washington has revealed that IRA accounts infiltrated the Black Lives Matter discourse community on Twitter. Building off of this work and using the publicly available Twitter dataset, I have analyzed the messaging tactics used by the IRA over time in relation to the Black Lives Matter discourse community on Twitter. I will randomly sample Tweets relating to Black Lives Matter, police brutality, and other related topics beginning in 2009 and ending in 2018, which is when the dataset ends. I use RStudio, Tableau, and other data analytic systems to identify trends, patterns, and messaging themes used by the IRA while they were infiltrating this online discourse community. As an area studies scholar, I provide a more comprehensive understanding of Russian tactics in addition to the data analysis. By examining the methods used by foreign agents when impersonating Americans on social media, I expand the knowledge base about this online effort and highlight themes or trends that could be used by similar groups in the future.