@inproceedings{zou-etal-2023-social,
    title = "Can Social Media Inform Dietary Approaches for Health Management? A Dataset and Benchmark for Low-Carb Diet",
    author = "Zou, Skyler  and
      Dai, Xiang  and
      Brinkworth, Grant  and
      Taylor, Pennie  and
      Karimi, Sarvnaz",
    editor = "Demner-fushman, Dina  and
      Ananiadou, Sophia  and
      Cohen, Kevin",
    booktitle = "The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.bionlp-1.38",
    doi = "10.18653/v1/2023.bionlp-1.38",
    pages = "406--412",
    abstract = "Social media offers an accessible avenue for individuals of diverse backgrounds and circumstances to share their unique perspectives and experiences. Our study focuses on the experience of low carbohydrate diets, motivated by recent research and clinical trials that elucidates the diet{'}s promising health benefits. Given the lack of any suitable annotated dataset in this domain, we first define an annotation schema that reflects the interests of healthcare professionals and then manually annotate data from the Reddit social network. Finally, we benchmark the effectiveness of several classification approaches that are based on statistical Support Vector Machines (SVM) classifier, pre-train-then-finetune RoBERTa classifier, and, off-the-shelf ChatGPT API, on our annotated dataset. Our annotations and scripts that are used to download the Reddit posts are publicly available at \url{https://data.csiro.au/collection/csiro:59208}.",
}

Social media offers an accessible avenue for individuals of diverse backgrounds and circumstances to share their unique perspectives and experiences. Our study focuses on the experience of low carbohydrate diets, motivated by recent research and clinical trials that elucidates the diet{'}s promising health benefits. Given the lack of any suitable annotated dataset in this domain, we first define an annotation schema that reflects the interests of healthcare professionals and then manually annotate data from the Reddit social network. Finally, we benchmark the effectiveness of several classification approaches that are based on statistical Support Vector Machines (SVM) classifier, pre-train-then-finetune RoBERTa classifier, and, off-the-shelf ChatGPT API, on our annotated dataset. Our annotations and scripts that are used to download the Reddit posts are publicly available at \url{https://data.csiro.au/collection/csiro:59208}.
Zou, Skyler Dai, Xiang Brinkworth, Grant Taylor, Pennie Karimi, Sarvnaz
Can Social Media Inform Dietary Approaches for Health Management? A Dataset and Benchmark for Low-Carb Diet