This work proposes to study the application of GPT-3 as a synthetic data generation tool for mental health, by analyzing its Algorithmic Fidelity, a term coined by Argyle et al 2022 to refer to the ability of LLMs to approximate real-life text distributions.
Using GPT-3, we develop HeadRoom, a synthetic dataset of 3,120 posts about depression-triggering stressors, by controlling for race, gender, and time frame (before and after… See the full description on the dataset page: https://huggingface.co/datasets/MichiganNLP/HeadRoom.
