Using analysis of social media posts, we look for linguistic markers that might indicate postpartum depression.
Postpartum mood disorders (PPMD, also refered to as postpartum depression) affect approximately 15% of mothers during the first year after childbirth, yet many new moms don't realize they have it. They are tired, busy, and may assume everyone feels they way they are feeling after having a baby. Our goal for this project is to develop unobtrusive diganostic tools that analyze people'ssocial media posts (e.g., their Facebook or Twitter posts) in order to identify possible indicators of PPMD. Are there clues in what people say on Facebook or Twitter that might suggest PPMD? If so, we could help thousands of new moms get a better sense of whether they might be suffering from PPMD simply by running their social media posts through an analysis tool.Current Study:
We are running a study that will allow us to correlate responses to the PHQ9, a standard assessment questionnaire used to diagnose PPMD, with linguistic elements in people's social media posts. If you have had a baby sometime between 2 and 5 months ago and would like to participate, please visit our study website.Additional Resources:
There are many resources on the web for learning more about PPMD, including general information from Wikipedia and WebMD, as well as many support organizations in the United States and worldwide.