See Something, Say Something: Correction of Global Health Misinformation on Social Media
By Leticia Bode, Emily K. Vraga. Health Communication, 2018
666 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Health, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/cf9c5559858e60390414d29b382cd427d4f18970
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In Artificial Intelligence
In Sociology and Political Science
Citations in the corpus
- Systematic Literature Review on the Spread of Health-related Misinformation on Social Media (2019, background): “However, Bode and Vraga (2018) did not find that belief in conspiracies reduced receptiveness to correction of misinformation on Zika virus, although this research generated several important insights for design of interventions to address this issue.”
- COVID-19–Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis (2020, background): “aimed at promoting evidence against misinformation quickly and clearly might change people’s perception and healthseeking behaviors.(52,53) Currently, the WHO and other health”
- The Debunking Handbook 2020 (2020, neutral): “A platform’s efforts may not be sufficient in scope or scalable to misinformation; user correction can work if people feel emboldened to engage in it 101, 102 .”
- Effects of misinformation on COVID-19 individual responses and recommendations for resilience of disastrous consequences of misinformation (2020, positive): “Belief in misinformation scale about COVID-19 was measured with a three-item scale previously used by Bode & Vraga [9] for the Zika virus,”
- Prevalence of Health Misinformation on Social Media: Systematic Review (2021, background): “Although recent studies are exploring innovative ways to effectively combat health misinformation online [19-22], additional research is needed to characterize and capture this complex social phenomenon [23].”