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COVID-19
Identifying patterns to prevent the spread of misinformation during epidemics
Elaine O. Nsoesie and Olubusola Oladeji
This paper discusses patterns of public health misinformation observed during infectious disease epidemics. Specifically, we group epidemic-related misinformation into four categories: transmission, prevention, treatment, and vaccination. By developing tools, algorithms, and other resources around these categories, institutions, companies, and individuals can proactively limit and counter the spread of misinformation and its potential negative health effects.
COVID-19
The relation between media consumption and misinformation at the outset of the SARS-CoV-2 pandemic in the US
Kathleen Hall Jamieson and Dolores Albarracín
A US national probability-based survey during the early days of the SARS-CoV-2 spread in the US showed that, above and beyond respondents’ political party, mainstream broadcast media use (e.g., NBC News) correlated with accurate information about the disease’s lethality, and mainstream print media use (e.g.,
COVID-19
Using misinformation as a political weapon: COVID-19 and Bolsonaro in Brazil
Julie Ricard and Juliano Medeiros
With over 30,000 confirmed cases, Brazil is currently the country most affected by COVID-19 in Latin America, and ranked 12th worldwide (John Hopkins University & Medicine, 2020). Despite all evidence, a strong rhetoric undermining risks associated to COVID-19 has been endorsed at the highest levels of the Brazilian government, making President Jair Bolsonaro the leader of the “coronavirus-denial movement” (Friedman, 2020.