Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science.
Sahiti MyneniPaula M CuccaroSarah MontgomeryVivek PakanatiJinni TangTavleen SinghOlivia DominguezTrevor CohenBelinda M ReiningerLara S SavasMaría E FernándezPublished in: JMIR infodemiology (2023)
Our study highlights the strengths of community-based field studies and emphasizes the utility of large-scale social media data sets in enabling rapid intervention tailoring to adapt grassroots community interventions to thwart misinformation seeding and spread among minority communities. Implications for consumer advocacy, data governance, and industry incentives are discussed for the sustainable role of social media solutions in public health.
Keyphrases
- social media
- public health
- health information
- electronic health record
- randomized controlled trial
- healthcare
- big data
- sars cov
- global health
- primary care
- mental health
- physical activity
- hepatitis c virus
- network analysis
- smoking cessation
- artificial intelligence
- sensitive detection
- human immunodeficiency virus
- antiretroviral therapy