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Register a new userWhen Text Simplification Is Not Enough: Could a Graph-Based Visualization Facilitate Consumers Comprehension of Dietary Supplement Information?
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Added by
Xing He
Publication date
2020
fields
Informatics Engineering
and research's language is
English
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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.
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Despite the high consumption of dietary supplements (DS), there are not many reliable, relevant, and comprehensive online resources that could satisfy information seekers. The purpose of this research study is to understand consumers information needs on DS using topic modeling and to evaluate its accuracy in correctly identifying topics from social media. We retrieved 16,095 unique questions posted on Yahoo! Answers relating to 438 unique DS ingredients mentioned in sub-section, Alternative medicine under the section, Health. We implemented an unsupervised topic modeling method, Correlation Explanation (CorEx) to unveil the various topics consumers are most interested in. We manually reviewed the keywords of all the 200 topics generated by CorEx and assigned them to 38 health-related categories, corresponding to 12 higher-level groups. We found high accuracy (90-100%) in identifying questions that correctly align with the selected topics. The results could be used to guide us to generate a more comprehensive and structured DS resource based on consumers information needs.
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