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揭开一门伪科学:对“生物牙科”Instagram帖子的分析

Uncovering a pseudoscience: an analysis of 'biological dentistry' Instagram posts.

作者信息

Jucá Ana Maria, Santana Jorge Olivia, Moreira Yasmin Rosalin, Lotto Matheus, Sá Menezes Tamires, Cruvinel Thiago

机构信息

Department of Pediatric Dentistry, Orthodontics, and Public Health, Bauru School of Dentistry, University of São Paulo, Bauru, Brazil.

出版信息

Acta Odontol Scand. 2024 Apr 24;83:180-189. doi: 10.2340/aos.v83.40486.

Abstract

OBJECTIVE

This infodemiology study aimed to analyze characteristics of English-language Instagram posts on 'Biological Dentistry'.

MATERIALS AND METHODS

Using CrowdTangle, we analyzed 500 'Biological Dentistry' posts published on Instagram from May 2017 to May 2022. Two researchers assessed each post for facticity, motivation, author's profile, sentiment, and interaction metrics. Statistical analysis was employed to compare interaction metrics between dichotomized categories of posts' characteristics and determine predictors of misinformation and user engagement.

RESULTS

Over half of the posts (58.4%) were from health-related authors, and a considerable number contained misinformation (68.2%) or were financially motivated (52%). Sentiment was mostly negative or neutral (59.8%). Misinformation was associated with financial motivation (OR = 2.12) and health-related authors (OR = 5.56), while non-health-related authors' posts associated with higher engagement (OR = 1.98). Reliable content, non-health-related authorship, and positive sentiment were associated with increased user interaction.

CONCLUSION

Misinformation about 'Biological Dentistry' on Instagram is mainly spread by financially incentivized health-related authors. Yet, non-health-related authors' posts resonate more with audiences, highlighting a nuanced relationship between content facticity, authorship, and engagement.

摘要

目的

本信息流行病学研究旨在分析Instagram上关于“生物牙科”的英文帖子的特征。

材料与方法

我们使用CrowdTangle分析了2017年5月至2022年5月在Instagram上发布的500篇关于“生物牙科”的帖子。两名研究人员对每篇帖子的真实性、动机、作者简介、情感和互动指标进行了评估。采用统计分析方法比较帖子特征二分法类别之间的互动指标,并确定错误信息和用户参与度的预测因素。

结果

超过一半的帖子(58.4%)来自与健康相关的作者,相当数量的帖子包含错误信息(68.2%)或有经济动机(52%)。情感大多为负面或中性(59.8%)。错误信息与经济动机(OR = 2.12)和与健康相关的作者(OR = 5.56)相关,而非与健康相关的作者的帖子与更高的参与度相关(OR = 1.98)。可靠的内容、非与健康相关的作者身份和积极的情感与用户互动增加相关。

结论

Instagram上关于“生物牙科”的错误信息主要由受经济激励的与健康相关的作者传播。然而,非与健康相关的作者的帖子更能引起受众共鸣,凸显了内容真实性、作者身份和参与度之间的细微关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5948/11302399/4fee30896779/AOS-83-40486-g001.jpg

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