Corpus-based analysis of MH17 online Dutch news articles

• Published in: ACM International Conference Proceeding Series
• Main Author: Wan Md Adnan W.N.; Shamsudin S.
• Format: Conference paper
• Language: English
• Published: Association for Computing Machinery 2019
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074754044&doi=10.1145%2f3345120.3345191&partnerID=40&md5=a21cebb4b8fadbaa6cb8720e977153e0

This paper features the step-by-step corpus analysis of texts taken from an online English-based Dutch news portal as part of our corpus project on media representations of MH17 aviation disaster news discourse. The main objective of this paper is to look into the frequency and concordance analysis of the words used in real-world contexts of online news articles on aviation news. Firstly, we introduce the MH17 online Dutch News as a corpus used in the study and how the corpus is developed. Next, we report examples of findings on the text analysis of the corpus by focusing on the frequency of vocabulary lists used in the corpus, and the concordance analysis of the words 'Dutch' and 'Netherlands'. All examples are taken from MH17 online articles from Dutch News.nl. Hence, with the step-by-step guideline on how to conduct corpus analysis, this would be able to shed some light on new opportunities and perspectives in corpus linguistics research. © 2019 Association for Computing Machinery.