Previous research from our group conducted a macro-analysis of tinnitus related content in major social media platforms such as Facebook, YouTube, and Twitter, where an abundance of information and misinformation on social media platforms is prominent. With macro-level analysis only providing a broad, comprehensive depiction of the frequency and prominence of tinnitus related content on social media platforms, micro-level metrics such as user-to-post and user-to-user interactions need to be analyzed to better understand data-trends. The aim of this study is to conduct an in-depth micro-analysis to review user interactions and behaviors, content sharing, and trends in how tinnitus content is shared that would have been missed from a macro-analysis. Two community-orientated social media platforms, Twitter and Facebook, were analyzed with the use of automated social media analytic tools called Popsters and Netlytic. Upon data collection and completion, it was found that Facebook consisted businesses and clinics
