Article 2026-04-23 under-review v1

Reframing Stress Detection Proxies in Social Media Mental Health Prediction for Perinatal Black Women

D
Darley Sackitey Georgia Institute of Technology
V
Vanessa Oguamanam Georgia Institute of Technology
R
Rebecca Tafete Georgia Institute of Technology
K
Keianna Moyer Georgia State University
P
Precious Ajiero Emory University
O
Oluyemi Farinu Morehouse School of Medicine
S
Sierra Carter University of Georgia
M
Muhammed Y. Idris Morehouse School of Medicine
N
Natalie Hernandez Morehouse School of Medicine
R
Rasheeta Chandler Emory University
A
Andrea Grimes Parker Georgia Institute of Technology

Abstract

With Black women facing disproportionately worse health outcomes during and after pregnancy, innovations in digital mental health provide an avenue to support the mental wellbeing of this population. Importantly, the advent of social media and its popularity among perinatal Black women for mental health, highlights social platforms as an avenue to learn about this population's stress expression and coping behaviors. We report the results of a mixed method study analyzing how stress experiences and coping patterns manifest online among 114 Black women (M age = 30.2) during and after pregnancy. By triangulating the results of survey and social media data analyses, we find that while participants experience stress, there exists a disconnect between their reported stress experiences in their survey data and their disclosures of stress on social media. Notably, while participants (n=17) reported experiencing moderate to high levels of perceived stress, they rarely discuss this stress in their social media posts. Using the stress process model and Superwoman schema to guide our analysis, we highlight patterns in online stress disclosure and coping from our participants, and offer implications of our findings for the design of digital mental health interventions.

Citation Information

@article{darleysackitey2026,
  title={Reframing Stress Detection Proxies in Social Media Mental Health Prediction for Perinatal Black Women},
  author={Darley Sackitey and Vanessa Oguamanam and Rebecca Tafete and Keianna Moyer and Precious Ajiero and Oluyemi Farinu and Sierra Carter and Muhammed Y. Idris and Natalie Hernandez and Rasheeta Chandler and Andrea Grimes Parker},
  journal={npj Women's Health},
  year={2026},
  doi={https://doi.org/10.21203/rs.3.rs-9062051/v1}
}
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