The main findings are as follows. First, the simple frequency analysis shows that the percentage of respondents who agree with conspiracy theories ranges from 8.0% to 44.0%. The belief rates are high for conspiracy theories concerning politicians or politics. It is also noteworthy that the proportion of people who moderately believe conspiracy theories is significant, ranging from 28.6% to 40.7%. This result suggests the potential for conspiracy theories to spread in Korean society. Second, the mean analysis shows that beliefs in conspiracy theories differ greatly between groups supporting and opposing the current government; groups trusting and not trusting the government; groups with high and low perceived risk, anxiety, and negative emotions; groups with and without better qualitative information; and groups with and without poor health generally and after COVID-19. Third, the correlation analysis shows that the quality of information has the greatest correlation with beliefs in conspiracy theories, followed by trust in the government, support for Moon’s government, and negative emotions. Fourth, the regression analysis shows that among the independent variables, authoritarianism, support for minority parties, religiosity, trust in SNS, perceived risk, anxiety, negative emotions, blame attribution, the quantity of information, health status, and health after COVID-19, all have positive effects on beliefs in conspiracy theories. Support for Moon’s government, Christianity, trust in the government, perceived control, analytic thinking, knowledge, and the quality of information and gender (female), all have negative effects. Overall, we consider 19 variables that influence beliefs in conspiracy theories. The finding that women have less probability for believing in conspiracy theories than man is a sensitive for interpretation. It is possible that men’s power orientation seems to be strengthen their belief in conspiracy theory. However, this assumption should also be proved through further research. The variable with the largest standardized regression coefficient is the quality of information, followed by health status, support for Moon’s government, perceived risk, and anxiety. These results show that the quality of information is very important in suppressing beliefs in conspiracy theories. The explanatory power of Model 1 is 20.8%, that of Model 2 is 17.3%, and that of Model 3 is 24.8%. This result confirms that all three factors are important for explaining beliefs in conspiracy theories and suggests that additional variables are needed to increase the model’s explanatory power.