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Updated: Jan 8, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Functional profiling of authoritative breast cancer-related key opinion leaders based on topic distributions: A
Yiwen Duan1, Qi Zhang1,2, Yang Yang3,4
1School of Nursing, Fudan University, Shanghai, China.
Objective:
This study aimed to develop a functional typology of authoritative breast cancer-related key opinion leaders (ABKOLs) on Chinese social media and to examine how platform-specific dynamics shape their content strategies and audience emotional responses.
Methods:
Videos from selected ABKOL accounts on Douyin and Xiaohongshu were transcribed using automated speech recognition and processed through natural language cleaning. Latent Dirichlet Allocation was used to extract semantic themes, K-means clustering was applied to identify functional types, and sentiment analysis was conducted to assess emotional patterns in user comments.
Results:
A total of 19,960 videos from 30 ABKOLs were collected (17,302 from Douyin, 2658 from Xiaohongshu), of which 19,043 valid transcripts were retained for analysis. Four functional types were identified: preventive advocates (Cluster 1, n = 12), therapeutic communicators (Cluster 2, n = 15), health promoters (Cluster 3, n = 1), and supportive companions (Cluster 4, n = 2). Douyin emerged as the primary platform for therapeutic communicators, health promoters, and supportive companions, while preventive advocates were more prevalent on Xiaohongshu. Sentiment analysis of 241,569 first-level and 211,341 second-level comments revealed that preventive advocates and health promoters elicited more positive emotional responses, whereas therapeutic communicators and supportive companions were associated with greater emotional polarization. A marked shift toward neutral sentiment was observed in second-level comments, suggesting emotional attenuation during prolonged interactions.
Conclusion:
This study revealed the functional roles, platform distributions, and emotional impacts of various ABKOL types. The findings underscore the importance of aligning content structures and emotional narratives with platform algorithms and audience expectations to optimize the effectiveness of social media-based cancer communication.
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