CATEGORY SHIFTS USED IN THE ENGLISH – INDONESIAN TRANSLATION OF “FACEBOOK AND GOOGLE CRITICISED BY GEORGE SOROS” IN BBC NEWS

News is one of writing works that is important for people as a media in delivering information. Nowadays, it is presented not only in a single language but also translated into many languages to fulfil people’s demand from all around the world. Thus in translating a news, the prior task that should be done by a translator is preserving the equivalence from source language (SL) into target language (TL). In doing the task, translation shifts theory can be applied in translating a work. This research analyses data of "Facebook and Google Criticised by George Soros" news in BBC News and its Indonesian version in the form of morpheme, word, phrase, clause, and sentence by using category shifts theory from Catford. This research belongs to qualitative research. The aims of this research are to figure out the kinds of category shifts used by the translator in translating the news into Indonesian and to uncover how the data are classified into the catagory shifts, in order to achieve equivalence translation. The finding of this research is that there are 77 data found in the TL text. The data are classified into four kinds of category shifts. They are structure shifts in 15 data, class shifts in 11 data, unit shifts in 22 data, and intra-system shifts in 29 data