LEXICAL COHESION FOUND IN CNN INTERNATIONAL NEWS

Abstrak

The title of this paper is Lexical Cohesion Found in CNN International News. In this paper, the discussion is focused on types and kinds of lexical cohesion found in the text, especially in online news. The discussion about (1) the types are used in CNN International news and (2) the mostly types is used in CNN International news. The main theory which is used in this research is taken from the book entitled Cohesion in English by Halliday and Hasan (1976). The data used in this paper was taken from CNN International news (February 2023 to March 2023). CNN International news was chosen because there is some news that uses lexical cohesion, CNN news contains about travel, style, sport, entertainment, world, and politic. The method of collecting the data in this paper is by using a mixed method (combining quantitative and qualitative methods). Based on the data analysis, it was found two types of lexical cohesion namely reiteration and collocation. Reiteration itself consists of four different kinds such as repetition, synonymy or near-synonymy, superordinate, and general word. Also, the second type was found is collocation. All of the types of lexical cohesion right here have their functions.