Online news is the news that is widely accessed in this digital era, because it is faster, more accurate, and flexible. At the beginning of 2020, the whole world is facing the Corona or Covid-19 virus. In cyberspace itself, many sites have the Corona theme as their main news. However, it is not uncommon for language errors to be found in online news, both errors during the typing process, as well as pure errors from the personal error of the author who is not careful in using language rules. This study aims to determine how many types of language errors are in CNN Indonesia's online news about Covid-19 for the March 2020 period. This type of research is a qualitative descriptive study. Data collection techniques in this study used the observation and note technique. Data analysis techniques were carried out starting from the beginning in the form of collection, recording, and classification. Based on the results of this study, four areas of language error were found, namely: (1) spelling (writing italics), (2) morphology (affix me (N) and prefix meN-), (3) syntax (illogical sentences, and non-logical sentences. frugal), (4) diction (connotative meaning and non-standard words). With this research, so that in the future the news presented can provide knowledge to readers by writing well and correctly