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How doctor image features engage health science short video viewers? Investigating the age and gender bias

Yingsi Tan (College of Management, Shenzhen University, Shenzhen, China) (School of Economics and Management, Harbin Institute of Technology, Harbin, China)
Shuang Geng (College of Management, Shenzhen University, Shenzhen, China)
Li Chen (College of Management, Shenzhen University, Shenzhen, China)
Lang Wu (College of Management, Shenzhen University, Shenzhen, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 15 August 2023

Issue publication date: 29 August 2023

376

Abstract

Purpose

Short-form health science videos have become an important medium for disseminating health knowledge and improving public health literacy. However, the factors that determine viewer engagement are not well understood. This study aims to address this research gap by investigating the association between doctor image features and viewer engagement behavior, building on the personal branding theory and information signaling theory.

Design/methodology/approach

A sample of 1245 health science short-form videos was collected, and key video features related to doctor images were extracted through manual labeling. Multi-variable regression analysis and SPSS process model were employed to test the hypotheses.

Findings

The results show that doctor image features are significantly associated with viewer engagement behavior. Videos featuring doctors in medical uniforms receive more viewer likes, comments and shares. Highlighting the doctor's title can increase viewer collections. Videos shot in a home, white wall, or study room setting receive more like, comments and sharing. The doctor's appearance demonstrates a positive nonlinear relationship with viewer likes and comments. Young doctors with title information tend to attract more video collections than older doctors with title information. The positive effect of the doctor's appearance and showing title information, become more significant among male doctors.

Originality/value

This research provides novel insights into the factors that determine viewer engagement behavior in short-form health science videos. Specific doctor image features can enhance viewer engagement by signaling doctor professionalism. The results also suggest that there may be age and gender biases in viewers' perceptions.

Keywords

Acknowledgements

This work was supported by the National Natural Science Foundation of China (71901150), Guangdong Basic and Applied Basic Research Foundation (2022A1515012077), Guangdong Province Innovation Team (2021WCXTD002).

Citation

Tan, Y., Geng, S., Chen, L. and Wu, L. (2023), "How doctor image features engage health science short video viewers? Investigating the age and gender bias", Industrial Management & Data Systems, Vol. 123 No. 9, pp. 2319-2348. https://doi.org/10.1108/IMDS-08-2022-0510

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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