0.3CLApr 25, 2022
Discovering changes in birthing narratives during COVID-19Daphna Spira, Noreen Mayat, Caitlin Dreisbach et al.
We investigate whether, and if so how, birthing narratives written by new parents on Reddit changed during COVID-19. Our results indicate that the presence of family members significantly decreased and themes related to induced labor significantly increased in the narratives during COVID-19. Our work builds upon recent research that analyze how new parents use Reddit to describe their birthing experiences.
Fine-Tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in TweetsMax Fleming, Priyanka Dondeti, Caitlin N. Dreisbach et al.
We describe our straight-forward approach for Tasks 5 and 6 of 2021 Social Media Mining for Health Applications (SMM4H) shared tasks. Our system is based on fine-tuning Distill- BERT on each task, as well as first fine-tuning the model on the other task. We explore how much fine-tuning is necessary for accurately classifying tweets as containing self-reported COVID-19 symptoms (Task 5) or whether a tweet related to COVID-19 is self-reporting, non-personal reporting, or a literature/news mention of the virus (Task 6).