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巴西 WhatsApp 上分享 COVID-19 错误信息的同伴的社会纠正动态。

Dynamics of social corrections to peers sharing COVID-19 misinformation on WhatsApp in Brazil.

机构信息

Department of Psychology, Northumbria University, Newcastle upon Tyne, UK.

COCO Lab, Northumbria University, Newcastle upon Tyne, UK.

出版信息

J Am Med Inform Assoc. 2021 Dec 28;29(1):33-42. doi: 10.1093/jamia/ocab219.

Abstract

OBJECTIVE

Online COVID-19 misinformation is a serious concern in Brazil, home to the second-largest WhatsApp user base and the second-highest number of COVID-19 deaths. We examined the extent to which WhatsApp users might be willing to correct their peers who might share COVID-19 misinformation.

MATERIALS AND METHODS

We conducted a cross-sectional online survey using Qualtrics among 726 Brazilian adults to identify the types of social correction behaviors (SCBs) and health and technological factors that shape the performance of these behaviors.

RESULTS

Brazil's WhatsApp users expressed medium to high levels of willingness to engage in SCBs. We discovered 3 modes of SCBs: correction to the group, correction to the sender only, and passive or no correction. WhatsApp users with lower levels of educational attainment and from younger age groups were less inclined to provide corrections. Lastly, the perceived severity of COVID-19 and the ability to critically evaluate a message were positively associated with providing corrections to either the group or the sender.

DISCUSSION

The demographic analyses point to the need to strengthen information literacy among population groups that are younger with lower levels of educational attainment. These efforts could facilitate individual-level contributions to the global fight against misinformation by the World Health Organization in collaboration with member states, social media companies, and civil society.

CONCLUSION

Our study suggests that Brazil's WhatsApp users might be willing to actively respond with feedback when exposed to COVID-19 misinformation by their peers on small-world networks like WhatsApp groups.

摘要

目的

新冠疫情相关的虚假信息是巴西的一个严重问题,巴西拥有世界第二大 WhatsApp 用户群和第二高的新冠死亡人数。我们研究了 WhatsApp 用户纠正其可能分享新冠虚假信息的同伴的意愿程度。

材料和方法

我们使用 Qualtrics 在线工具对 726 名巴西成年人进行了横断面调查,以确定社会纠正行为(SCB)的类型以及影响这些行为的健康和技术因素。

结果

巴西的 WhatsApp 用户表示愿意进行 SCB,程度从中等到高度不等。我们发现了 3 种 SCB 模式:对群组进行纠正、仅对发件人进行纠正、被动或不进行纠正。教育程度较低和年龄较小的 WhatsApp 用户不太倾向于提供纠正。最后,对新冠严重程度的感知和批判性评估信息的能力与向群组或发件人提供纠正呈正相关。

讨论

人口统计学分析表明,需要加强教育程度较低、年龄较小的人群的信息素养。这些努力可以促进个人层面为世界卫生组织与成员国、社交媒体公司和民间社会合作打击全球错误信息的斗争做出贡献。

结论

我们的研究表明,巴西的 WhatsApp 用户在其同伴在 WhatsApp 群组等小世界网络上分享新冠虚假信息时,可能会愿意通过反馈积极响应。

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本文引用的文献

1
An Examination of Factors Contributing to the Acceptance of Online Health Misinformation.
Front Psychol. 2021 Mar 1;12:630268. doi: 10.3389/fpsyg.2021.630268. eCollection 2021.
2
Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA.
Nat Hum Behav. 2021 Mar;5(3):337-348. doi: 10.1038/s41562-021-01056-1. Epub 2021 Feb 5.
3
Knowledge About COVID-19 in Brazil: Cross-Sectional Web-Based Study.
JMIR Public Health Surveill. 2021 Jan 21;7(1):e24756. doi: 10.2196/24756.
4
What happens in Brazil? A pandemic of misinformation that culminates in an endless disease burden.
Rev Soc Bras Med Trop. 2020 Dec 21;54:e07132020. doi: 10.1590/0037-8682-0713-2020. eCollection 2020.
5
Fact or Fake? An analysis of disinformation regarding the Covid-19 pandemic in Brazil.
Cien Saude Colet. 2020 Oct;25(suppl 2):4201-4210. doi: 10.1590/1413-812320202510.2.28922020. Epub 2020 Aug 17.
6
Where We Go From Here: Health Misinformation on Social Media.
Am J Public Health. 2020 Oct;110(S3):S273-S275. doi: 10.2105/AJPH.2020.305905.
7
Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases.
Hum Vaccin Immunother. 2020 Nov 1;16(11):2586-2593. doi: 10.1080/21645515.2020.1780846. Epub 2020 Jul 21.
10
Misinformation as a Misunderstood Challenge to Public Health.
Am J Prev Med. 2019 Aug;57(2):282-285. doi: 10.1016/j.amepre.2019.03.009. Epub 2019 Jun 24.

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