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

Author:

Tan YingsiORCID,Geng ShuangORCID,Chen Li,Wu Lang

Abstract

PurposeShort-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/approachA 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.FindingsThe 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/valueThis 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.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Industrial relations,Management Information Systems

Reference75 articles.

1. Ahmed, E. (2022), “Will we see more doctors on TikTok this year?”, available at: https://www.emarketer.com/content/will-see-more-doctors-on-tiktok-this-year (accessed 21 June 2022).

2. The market for ‘lemons’: quality uncertainty and the market mechanism;Uncertainty in Economics,1978

3. Effects of stereotypes in decision making and information-processing strategies;Journal of Personality Social Psychology,1985

4. Bagwell, K. (2007), “The economic analysis of advertising”, Handbook of Industrial Organization, Vol. 3, pp. 1701-1844.

5. Is beauty best? Highly versus normally attractive models in advertising;Journal of Advertising,2001

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