Governments utilize various media channels to disseminate knowledge pertaining to infectious diseases such as COVID-19. When it was declared a pandemic, society began to depend on the media for critical information and countermeasures that would facilitate tackling the virus. The main objective of this research is to examine the impact of verified Saudi government accounts across various media outlets on respondents’ knowledge, attitudes, and intentions regarding COVID-19.A structured online questionnaire was distributed and 315 responses were used for analysis. The results were analyzed using SPSS. The results indicate that the residents of Saudi Arabia have adequate knowledge concerning the symptoms, precautionary measures, and modes of transmission of COVID-19. The respondents have gained this knowledge from verified Saudi government accounts across various media outlets, most prominently via social media..

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The study intends to investigate if the stock market in Saudi Arabia follows the weak form of market efficiency using daily data from Tadawul All Share Index (TASI). The daily data was collected from January 2012 to January 2019. The study employed different of tests types such as: autocorrelation, unit root test, runs test, and variance decomposition test that are used to assess the daily data of the Saudi stock market. The results from autocorrelation, unit root test, runs test, and variance decomposition test indicate that the Saudi stock market does not follow the weak form of market efficiency. However, future studies are required to understand variations in the Saudi stock market prices. Additionally, the results recommend conducting further studies to test the semistrong form of efficient market hypothesis in Saudi Arabia.Moreover, future studies also need to focus on the adoption of correction and regulations by the policymakers in the Saudi stock market.Contribution/ Originality: This study contributes to the existing literature on emerging stock markets in general and particularly to the Saudi market since the majority of the studies are done in developed countries with well-organized stock markets. Also, it includes a new period where new regulations were adopted by the Saudi stock market.

This paper is evaluating whether education or the standard of living in a country helped citizens to stay at home during COVID-19 pandemic. The study implemented a cross-sectional regression on Google mobility trend reports as of 29th March, 2020 which include the mobility trends in retail and recreation, grocery and pharmacy, park, transit station, workplace and residential areas along with real GDP per capita as a proxy for standard of living and Education Index to approximate the level of education. The cross-sectional regression included 123 countries as a sample for the study. The study found that education index, park mobility trends and workplace mobility trends were significate variables in explaining the changes in residential area. However, real GDP per capita was not significate. The study concluded that standard of living is not a significate variable in changing the percentage of people who stayed at home. Moreover, education index has a negative impact on staying at home. Meaning, for each one-point increase in education index, the percentage change for citizens staying at home decreases by 0.087. Although, our result indicates that individual's education has a negative effect, this result can be explained by the decline of political trust in demarcate government were education index is high.