挖掘Reddit患者对治疗的期待，揭示其语言模式与心理倾向
Towards Expectation Detection in Language: A Case Study on Treatment Expectations in Reddit
- 构建医疗期待检测任务，用大模型标注4500条Reddit帖子
- 发现身体疾病患者更乐观且主动表达期待，多聚焦治疗好处
- 适合医疗情感分析、健康AI产品设计的研究者使用
患者对治疗的期待显著影响治疗效果。尽管已有研究集中于临床环境，但类似Reddit等在线患者平台可能提供补充洞察——患者不愿在其他场合表达的期待。然而，目前尚无研究探讨用户在线上讨论何种期待及其表达方式，部分原因在于期待尚未被自然语言处理领域系统研究。为此，我们提出“期待检测”新任务，强调其在意见挖掘和产品设计中的价值。以医疗领域为案例，我们构建了包含4500篇帖子的RedHOTExpect语料库，采用大语言模型进行银标签标注，并通过人工验证确认标签准确率约78%。基于该数据，我们分析了期待的语言特征，探索患者的具体期待及成因。结果显示，在身体或治疗相关疾病讨论中，乐观态度与主动表达更为突出，而心理健康议题中则较弱；在本数据集中，患者主要讨论治疗益处而非负面结果。RedHOTExpect语料库可从https://www.ims.uni-stuttgart.de/data/RedHOTExpect获取。
原文摘要 · Abstract (English)
Patients' expectations towards their treatment have a substantial effect on the treatments' success. While primarily studied in clinical settings, online patient platforms like medical subreddits may hold complementary insights: treatment expectations that patients feel unnecessary or uncomfortable to share elsewhere. Despite this, no studies examine what type of expectations users discuss online and how they express them. Presumably this is because expectations have not been studied in natural language processing (NLP) before. Therefore, we introduce the task of Expectation Detection, arguing that expectations are relevant for many applications, including opinion mining and product design. Subsequently, we present a case study for the medical domain, where expectations are particularly crucial to extract. We contribute RedHOTExpect, a corpus of Reddit posts (4.5K posts) to study expectations in this context. We use a large language model (LLM) to silver-label the data and validate its quality manually (label accuracy ~78%). Based on this, we analyze which linguistic patterns characterize expectations and explore what patients expect and why. We find that optimism and proactive framing are more pronounced in posts about physical or treatment-related illnesses compared to mental-health contexts, and that in our dataset, patients mostly discuss benefits rather than negative outcomes. The RedHOTExpect corpus can be obtained from https://www.ims.uni-stuttgart.de/data/RedHOTExpect
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。