Interventions to Mitigate COVID-19 Misinformation: A Systematic Review and Meta-Analysis

被引:34
作者
Janmohamed, Kamila [1 ]
Walter, Nathan [2 ]
Nyhan, Kate [3 ]
Khoshnood, Kaveh [4 ]
Tucker, Joseph D. [5 ,6 ,7 ]
Sangngam, Natalie [1 ]
Altice, Frederick L. [4 ,8 ]
Ding, Qinglan [9 ]
Wong, Allie [10 ]
Schwitzky, Zachary M. [10 ]
Bauch, Chris T. [11 ]
De Choudhury, Munmun [12 ]
Papakyriakopoulos, Orestis [13 ]
Kumar, Navin [8 ]
机构
[1] Yale Coll, New Haven, CT USA
[2] Northwestern Univ, Evanston, IL USA
[3] Yale Univ, Harvey Cushing John Hay Whitney Med Lib, New Haven, CT USA
[4] Yale Sch Publ Hlth, Dept Epidemiol Microbial Dis, New Haven, CT USA
[5] Univ North Carolina Chapel Hill Project China, Guangzhou, Peoples R China
[6] Univ N Carolina, Sch Med, Chapel Hill, NC 27515 USA
[7] London Sch Hyg & Trop Med, Fac Infect & Trop Dis, London, England
[8] Yale Sch Med, Sect Infect Dis, New Haven, CT USA
[9] Purdue Univ, Coll Hlth & Human Sci, W Lafayette, IN 47907 USA
[10] Limbik, New York, NY USA
[11] Univ Waterloo, Dept Appl Math, Waterloo, ON, Canada
[12] Georgia Tech, Sch Interact Comp, Atlanta, GA USA
[13] Princeton Univ, Ctr Informat Technol Policy, Princeton, NJ 08544 USA
关键词
SOCIAL MEDIA; SUPPORT; POWER; BIAS;
D O I
10.1080/10810730.2021.2021460
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
The duration and impact of the COVID-19 pandemic depends largely on individual and societal actions which are influenced by the quality and salience of the information to which they are exposed. Unfortunately, COVID-19 misinformation has proliferated. Despite growing attempts to mitigate COVID-19 misinformation, there is still uncertainty regarding the best way to ameliorate the impact of COVID-19 misinformation. To address this gap, the current study uses a meta-analysis to evaluate the relative impact of interventions designed to mitigate COVID-19-related misinformation. We searched multiple databases and gray literature from January 2020 to September 2021. The primary outcome was COVID-19 misinformation belief. We examined study quality and meta-analysis was used to pool data with similar interventions and outcomes. 16 studies were analyzed in the meta-analysis, including data from 33378 individuals. The mean effect size of interventions to mitigate COVID-19 misinformation was positive, but not statistically significant [d = 2.018, 95% CI (-0.14, 4.18), p = .065, k = 16]. We found evidence of publication bias. Interventions were more effective in cases where participants were involved with the topic, and where text-only mitigation was used. The limited focus on non-U.S. studies and marginalized populations is concerning given the greater COVID-19 mortality burden on vulnerable communities globally. The findings of this meta-analysis describe the current state of the literature and prescribe specific recommendations to better address the proliferation of COVID-19 misinformation, providing insights helpful to mitigating pandemic outcomes.
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页码:846 / 857
页数:12
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