A Corpus-Assisted Critical Discourse Analysis of the Syrian Refugee Crisis in Jordanian Newspapers

  •  Amal Riyadh Kitishat    
  •  Murad Al Kayed    
  •  Mohammad Al-Ajalein    


The present study employs corpus linguistics and critical discourse analysis to investigate the attitudes of Jordanian news towards the Syrian refugee crisis. The corpus of the research, which consists of 10140 articles (Word types: 103170 and Word tokens: 1956589), were taken from the Petra news agency between 2016 and 2018. Antconc Tools Version 3.4.4w was used to analyze the data. The study used corpus statistical tools of collocates and concordance. Collocates tool used to create a list of 200 collocates associated with the words: /lad3iʔ/ ‘refugee’, /lad3iʔi:n/ ‘refugees’, /su:ri:/ ‘Syrian’, and /su:ryi:n/ ‘Syrians’. These collocates were organized into two thematic categories: ‘services and resources’ and ‘Jordanians and Syrians’. The study used a concordance tool to unveil the attitudes of newspapers towards the Syrian refugee crisis. The findings of the study showed that Jordanians see Syrians as “brothers” and “guests”. However, Jordanian newspapers overstated the negative effect of Syrian refugees on the Jordanian economy, education, healthcare, etc. Jordanians were frustrated because Syrians compete with them on their resources and governmental services.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1923-869X
  • ISSN(Online): 1923-8703
  • Started: 2011
  • Frequency: bimonthly

Journal Metrics

Google-based Impact Factor (2021): 1.43

h-index (July 2022): 45

i10-index (July 2022): 283

h5-index (2017-2021): 25

h5-median (2017-2021): 37

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