Research and Development on the Detection of Potential Misinformation Discourse in Traditional Chinese Medicine Marketing Accounts

This study focuses on Sina Weibo as the research platform, constructing a corpus of Traditional Chinese Medicine (TCM) marketing content spanning 2019-2024. By integrating four analytical dimensions—evaluative markers, personal pronoun features, sentiment analysis, and genre characteristics—we employ mixed quantitative and qualitative methods to investigate misinformation discourse patterns in TCM promotional posts. Key findings reveal: 1) Frequent use of intensifiers in TCM content that exaggerate therapeutic efficacy; 2) Strategic deployment of personal pronouns demonstrating persuasive tactics to enhance reader immersion and behavioral intent; 3) Dominance of positive sentiment with observable emotional manipulation tendencies; 4) Highly templatized genre structures forming deceptive logical chains through “authority + expertise + call-to-action” rhetorical moves. The research systematically identifies the prototypical discourse features of deceptive TCM marketing, aiming to provide theoretical foundations for optimizing TCM communication practices and purifying online health information ecosystems.

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Publication Details

Journal
Voice of the Publisher
Published
2025-01-01
DOI
https://doi.org/10.4236/vp.2025.112020
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.00

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article

Research and Development on the Detection of Potential Misinformation Discourse in Traditional Chinese Medicine Marketing Accounts

Yang Lu, Xue Zou, Shuang Luo, Jinjie Yan et al.
Voice of the Publisher
Sentiment Analysis and Opinion Mining
article

Research and Development on the Detection of Potential Misinformation Discourse in Traditional Chinese Medicine Marketing Accounts

Yang Lu, Xue Zou, Shuang Luo, Jinjie Yan, Zhengyan Wu
article en

Abstract

This study focuses on Sina Weibo as the research platform, constructing a corpus of Traditional Chinese Medicine (TCM) marketing content spanning 2019-2024. By integrating four analytical dimensions—evaluative markers, personal pronoun features, sentiment analysis, and genre characteristics—we employ mixed quantitative and qualitative methods to investigate misinformation discourse patterns in TCM promotional posts. Key findings reveal: 1) Frequent use of intensifiers in TCM content that exaggerate therapeutic efficacy; 2) Strategic deployment of personal pronouns demonstrating persuasive tactics to enhance reader immersion and behavioral intent; 3) Dominance of positive sentiment with observable emotional manipulation tendencies; 4) Highly templatized genre structures forming deceptive logical chains through “authority + expertise + call-to-action” rhetorical moves. The research systematically identifies the prototypical discourse features of deceptive TCM marketing, aiming to provide theoretical foundations for optimizing TCM communication practices and purifying online health information ecosystems.

Voice of the PublisherVol. 11(02)
Sichuan University of Arts and Science (CN)
Sichuan University
Gender equality
Openalex Percentile: Top 94%
Sentiment Analysis and Opinion Mining
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