The articles of Covid-19 are broadcasted around the world since it was found the first time in Wuhan, Hubei Province, China. There are lots of research concerning this disease from the scientific field and also from the Linguistics perspective. This article discusses Corona virus based on the Corpus Linguistic study by using Coronavirus corpus as the data source. This corpus contains the 757 million words since it was released May 2020 derived from newspapers and magazines from 20 different English-speaking countries. The method used in this research is mix-method. The collecting data was conducted by observing the collocate appeared together with the words Corona and Covid-19 as the keywords. The combination of adjacent collocation and window collocation are used to investigate the frequency words that appeared with the keywords. The strength of the keywords and collocate are measured by using Mutual Information (MI). Based on the frequency and MI, it finds out that the words ‘cases’, ‘number’, ‘patients’, ‘disease’, ‘infection’, and ‘outbreak’ appeared frequentatively with the keyword Corona as the noun collocates; and the words ‘continues’, ‘hit’, ‘began’, ‘caused’, ‘bringing’ appeared frequentatively with the keyword Covid-19 as the verb collocates. From those collocates, it can be concluded that those media published in 20 different English-speaking countries have the same opinion, the same perspective, and the similar information concerning this pandemic.