Classmates Finn Riley-Belew, Michael Walsh, and I looked into a shift in people posting about their feelings towards work on Twitter. We hypothesized that people have increased their focus on emotion when discussing work during the COVID-19 pandemic compared to before the pandemic. In this study, we used the coding language R to automate the process of recording random tweets that contained “#work” from January 2019 and January 2021. We analyzed how much focus users put on work and emotion in their tweets using the percentage of each tweet that included words that are associated with emotion and the percentage of words that were related to work, as calculated by the computer program Linguistic Inquiry and Word Count (LIWC).