Analyzing social media data to understand consumer information needs on dietary supplements

Rubina F. Rizvi; Yefeng Wang; Thao Nguyen; Jake Vasilakes; Jiang Bian; Zhe He; Rui Zhang

doi:10.3233/SHTI190236

Analyzing social media data to understand consumer information needs on dietary supplements

Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

15 Scopus citations

Abstract

Despite the high consumption of dietary supplements (DS), few reliable, relevant, and comprehensive online resources could satisfy information seekers. This research study aims to understand consumer information needs on DS using topic modeling, and to evaluate 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 in which consumers are most interested. 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 guide us to generate a more comprehensive and structured DS resource based on consumers' information needs.

Original language	English (US)
Title of host publication	MEDINFO 2019
Subtitle of host publication	Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
Editors	Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
Publisher	IOS Press
Pages	323-327
Number of pages	5
Volume	264
ISBN (Electronic)	9781643680026
DOIs	https://doi.org/10.3233/SHTI190236
State	Published - Aug 21 2019
Event	17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France Duration: Aug 25 2019 → Aug 30 2019

Publication series

Name	Studies in health technology and informatics
ISSN (Print)	0926-9630

Conference

Conference	17th World Congress on Medical and Health Informatics, MEDINFO 2019
Country/Territory	France
City	Lyon
Period	8/25/19 → 8/30/19

Bibliographical note

Funding Information:
This research was supported by the U.S. National Institutes for Health (R01AT009457) (Zhang).

Publisher Copyright:
© 2019 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).

Keywords

Dietary supplements
Social media
Topic modeling
Social Media
Dietary Supplements

PubMed: MeSH publication types

Journal Article

Publisher link

10.3233/SHTI190236

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Rizvi, R. F., Wang, Y., Nguyen, T., Vasilakes, J., Bian, J., He, Z., & Zhang, R. (2019). Analyzing social media data to understand consumer information needs on dietary supplements. In B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (Vol. 264, pp. 323-327). (Studies in health technology and informatics). IOS Press. https://doi.org/10.3233/SHTI190236

Analyzing social media data to understand consumer information needs on dietary supplements. / Rizvi, Rubina F.; Wang, Yefeng; Nguyen, Thao et al.
MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. Vol. 264 IOS Press, 2019. p. 323-327 (Studies in health technology and informatics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rizvi, RF, Wang, Y, Nguyen, T, Vasilakes, J, Bian, J, He, Z & Zhang, R 2019, Analyzing social media data to understand consumer information needs on dietary supplements. in B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (eds), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. vol. 264, Studies in health technology and informatics, IOS Press, pp. 323-327, 17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, France, 8/25/19. https://doi.org/10.3233/SHTI190236

Rizvi RF, Wang Y, Nguyen T, Vasilakes J, Bian J, He Z et al. Analyzing social media data to understand consumer information needs on dietary supplements. In Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Vol. 264. IOS Press. 2019. p. 323-327. (Studies in health technology and informatics). doi: 10.3233/SHTI190236

Rizvi, Rubina F. ; Wang, Yefeng ; Nguyen, Thao et al. / Analyzing social media data to understand consumer information needs on dietary supplements. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. editor / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. Vol. 264 IOS Press, 2019. pp. 323-327 (Studies in health technology and informatics).

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Analyzing social media data to understand consumer information needs on dietary supplements

Abstract

Publication series

Conference

Bibliographical note

Keywords

PubMed: MeSH publication types

Publisher link

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