This thesis examined the relationship between pro-ana and bodybuilding social media content to understand the similarities between these populations’ identities and help inform social media content policies. Two interrelated studies were used to investigate this relationship: Study 1 used computational methods which compared the content through machine classification of pro-ana and bodybuilding social media posts on Twitter and Study 2 fielded an online survey experiment to compare the perceptions and human classification of content from these populations on Instagram. The findings from both studies broadly revealed that pro-ana and bodybuilding identities are similar, at least in social media content, which raises concern for the current state of social media censorship policies. The results of this thesis highlight the critical need for social media censorship policies to be cognizant of different populations expressing the same content, creating discrepancies when only one is censored
