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The purpose of this study is to assess public opinion, (false) beliefs, and behavioral intentions surrounding the coronavirus, COVID 19. Along with a more the exploratory approach described above, we also have included a few experiments in our survey to test the following questions: 1) Are there differences in public opinion, (false) beliefs, and behavioral intentions between the political left and right in the U.S.? 2) Do partisan (i.e. pro vs. anti-trump) primes increase these differences in public opinion, (false beliefs), and behavioral intentions? 3) Does asking questions about fears surrounding coronavirus prime increased likelihood to to comply with measures (i.e. behavioral intensions)? 4) Are people more willing to test a new vaccine for coronavirus (if it were to be invented) if it was developed by scientists vs. pharmaceutical companies? 5) Do response mode categories affect participants' estimates of infection rates? We hope to run this study at least one more time in the weeks to come in order to assess how changes in the political landscape and the impact of the pandemic change public opinion, (false) beliefs, and behavioral intentions.

Can informing people of public or expert (i.e. scientists) norms reduce support of misperceptions/false beliefs? Drawing on the literature of descriptive social norms and authority/expertise effects (Cialdini, 2007) we aim to reduce support for misperceptions in the domains of GMOs and vaccinations. Additionally, we measure which moderators can help boost or attenuate the effectiveness of these corrections. These moderators comprise of ideological, psychological and demographic measures.

In late 2020, biopharmaceutical companies announced that they had successfully developed effective vaccinations against Covid-19 (SARS-CoV-2). The vaccines may be the solution to the pandemic. However, in order for them to be affective at stopping the spread of Covid-19 the majority of the world's population must be vaccinated. Unfortunately, it seems that some people are hesitant to receive the vaccine. Our study aims to asses people's views about potential Covid-19 vaccines, specifically about which characteristics of the vaccine lead to higher acceptance levels than others. Using a conjoint design (also known as a discrete choice experiment), we ask participants to choose between two potential vaccines with randomized profiles. Using this data, we can test which characteristics within each profile lead to higher acceptance of the vaccine.

We test whether participant's estimates of population perceptions (especially regarding false beliefs) are dependent on the response modes provided to them.