2020/07/05 by Xing He, He, Xing, Rui Zhang +18
Biochemistry, Genetics and Molecular Biology · Computer Science · Health Professions · #Advanced Text Analysis Techniques #Biomedical Text Mining and Ontologies #Computers and Society (cs.CY) #FOS: Computer and information sciences #Health Literacy and Information Accessibility #cs.CY
paper · pdf · doi:10.48550/arxiv.2007.02333
openalex publication_date 2020/07/05 · arxiv created 2021/04/03 · arxiv updated 2021/04/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Dietary supplements are widely used but not always safe. With the rapid development of the Internet, consumers usually seek health information including dietary supplement information online. To help consumers access quality online dietary supplement information, we have identified trustworthy dietary supplement information sources and built an evidence-based knowledge base of dietary supplement information-the integrated DIetary Supplement Knowledge base (iDISK) that integrates and standardizes dietary supplement related information across these different sources. However, as information in iDISK was collected from scientific sources, the complex medical jargon is a barrier for consumers' comprehension. To assess how different approaches to simplify and represent dietary supplement information from iDISK will affect lay consumers' comprehension, using a crowdsourcing platform, we recruited participants to read dietary supplement information in four different representations from iDISK: original text, syntactic and lexical text simplification, manual text simplification, and a graph-based visualization. We then assessed how the different simplification and representation strategies affected consumers' comprehension of dietary supplement information in terms of accuracy and response time to a set of comprehension questions. With responses from 690 qualified participants, our experiments confirmed that the manual approach had the best performance for both accuracy and response time to the comprehension questions, while the graph-based approach ranked the second outperforming other representations. In some cases, the graph-based representation outperformed the manual approach in terms of response time. A hybrid approach that combines text and graph-based representations might be needed to accommodate consumers' different information needs and information seeking behavior.