The thesis outlines the procedure of assembling and analyzing a corpus based on the user forum posts on the website of Croatian computer magazine Bug. Out of the 19 Bug forum categories available, the following 9 were selected for the research: Internet i mreže (Internet and networks), Hardver (Hardware), Softver (Software), ICT Pro & Biznis (ICT Pro & Business), Razvoj (Development), Igre (Games), Mobiteli (Mobile phones), Digitalije (Digital devices), and Samogradnja (DIY). User posts were fetched from the selected fora using a computer program composed by the author herself. Approximately 3.9 million user messages were gathered from a little over 140 thousand forum topics. The earliest posts were published in early 2008, and the most recent posts were published at the end of 2022. Uploading the filtered and prepared content to the Sketch Engine corpus tool resulted in a finished corpus of approximately 3.7 million posts. The research consists of linguistic analysis and term analysis. The linguistic analysis evaluates the changes at the levels of spelling, morphology, word formation, syntax, and lexix, whereas the term analysis is dedicated to the creation of computer terms by assimilating English terms, accepting international terms, terminologization, and reterminologization. The term analysis also evaluates multi-word terms, semantic relations within the corpus, the relationship between jargon and standard computer terms, in addition to a diachronic study of the corpus. The research shows that major changes have occurred over the past 10-15 years in comparison to past research of Croatian computer terms. Jargon words appear more frequently in the corpus than standard language terms, and almost a third of jargon terms belong to computer game jargon. The research also indicates that standard terms frequently have broader meaning, while jargon words frequently have narrower meaning. The corpus contains more examples of English words that are only partially adapted to Croatian, as opposed to English words that have undergone a full adaptation. Compared to previous research, many standard language terms mentioned by Mihaljević (1990) have not been found in the Bug forum corpus, while most jargon terms mentioned by Halonja (2006) are present in the corpus in the same meaning stated by the author. The 447 reasons for that are the informal nature of the corpus and the time elapsed since the publication of the authors' works. The diachronic analysis of pairs of common computer jargon and standard language terms shows a decrease in the number of corpus tokens for most of the terms. The phenomenon is in accordance with a general trend in the corpus, and the reduction of the number of user posts in the second half of the time period in the analysis precludes a true diachronic analysis. One possible research direction includes extending the existing corpus with new material and conducting the frequency and diachronic analyses again. Surveying the attitudes of Croatian speakers to adapting newer English jargon terms would also be useful. Another possible research direction is developing a language model that would recognize both Croatian and English words and language structures, which would facilitate searching for Croatian words in the corpus and provide insight into emergent neologisms.