# Communicating Nutritional Knowledge to the Chinese Public: Examining Predictive Factors of User Engagement on TikTok in China

**Authors:** Min Zhu, ShaoPeng Che

PMC · DOI: 10.3390/bs14030201 · Behavioral Sciences · 2024-03-02

## TL;DR

This study explores how different content strategies on TikTok affect user engagement with nutritional science in China.

## Contribution

It identifies specific content variables that influence user engagement metrics on science communication in China.

## Key findings

- Personification and science visualization increase subscriptions.
- Recommendations boost comments, while conclusions reduce shares.

## Abstract

Objective: This study aims to identify content variables that theoretical research suggests should be considered as strategic approaches to facilitate science communication with the public and to assess their practical effects on user engagement metrics. Methods: Data were collected from the official Chinese TikTok account (Douyin) of the Nutrition Research Institute of China National Cereals, Oils and Foodstuffs Corporation, China’s largest state-owned food processing conglomerate. Dependent variables included likes, shares, comments, subscription increases. Independent variables encompassed explanation of jargon (metaphor, personification, science visualization), communication remarks (conclusion presence, recommendation presence), and content themes. Descriptive analysis and negative binomial regression were employed, with statistical significance set at 0.05. Results: First, subscription increases were positively associated with personification (p < 0.05, 0.024) and science visualization (p < 0.01, 0.000). Second, a positive relationship existed between comments and communicator recommendations (p < 0.01, 0.000), while presenting conclusions negatively correlated with shares (p < 0.05, 0.012). Conclusions: Different strategies yielded improvements in various engagement metrics. This can provide practical guidance for communicators, emphasizing the need to balance scholarly presentation with sustaining appealing statistics.

## Full-text entities

- **Diseases:** blood pressure (MESH:D006973), COVID-19 (MESH:D000086382), injury to people or property (MESH:C000719191), Jargon (MESH:D001041), flatulence (MESH:D005414)
- **Chemicals:** methane (MESH:D008697), sodium (MESH:D012964)
- **Species:** Bos taurus (bovine, species) [taxon 9913], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

35 references — full list in the complete paper: https://tomesphere.com/paper/PMC10968627/full.md

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Source: https://tomesphere.com/paper/PMC10968627