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

感知 独创性 健康素养 心理学 价值(数学) 考试(生物学) 医学教育 社会心理学 医学 计算机科学 政治学 医疗保健 生物 机器学习 古生物学 神经科学 法学 创造力
作者
Yingsi Tan,Shuang Geng,Li Chen,Lang Wu
出处
期刊:Industrial Management and Data Systems [Emerald Publishing Limited]
卷期号:123 (9): 2319-2348 被引量:15
标识
DOI:10.1108/imds-08-2022-0510
摘要

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.
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