Evidence map›Paper›PMID 41561861›Full record

ArticleFrontiers in public health2025

Improving the communication of uncertainty in food safety on social media: a content analysis of aspartame risk messages.

Yanjie Chen, Shujun Luo, Liu Xu, Meng Tan

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yanjie ChenFaculty of Humanities and Arts, Macau University of Science and Technology, Macau, China.
Shujun LuoSchool of Sociology and Humanities, Jiangxi University of Finance and Economics, Nanchang, China.
Liu XuFaculty of Hospitality and Tourism Management, Macau University of Science and Technology, Macau, China.
Meng TanFaculty of Humanities and Arts, Macau University of Science and Technology, Macau, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although social media has become a primary platform for the public to access and disseminate risk information, research on how to effectively communicate food safety uncertainty on these platforms remains limited. Objective: To explore the impact of uncertainty frames, information sources, and persuasive strategies on public engagement, we conducted a case study of aspartame risk communication on Weibo. Methods: Content analysis was conducted on 1,863 Weibo posts related to aspartame. Uncertainty frames, information sources, and persuasive strategies were manually coded. Public engagement was measured by retweets and likes, and descriptive statistics, chi-square tests, and negative binomial regression were conducted. Results: Results revealed a lack of professional voices, with only 23.0% of posts originating from professionals and medical institutions. Messages predominantly relied on the technical uncertainty frame (37.6%), which significantly diminished engagement ( Conclusion: The findings suggested that food safety risk communication on Weibo requires greater involvement of expert voices. When framing aspartame risks under different types of uncertainty, communicators should carefully select appropriate persuasive strategies to improve communication effectiveness.

Indexed as

AspartameCommunicationFood SafetySocial MediaHumansPersuasive CommunicationUncertaintyAspartamefood safetyhealth communicationpersuasive strategiesrisk societysocial mediauncertainty frames

Identifiers

PMID41561861
PMCPMC12813148

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.