This study combines the quantitative tools of computational linguistics and the qualitative methods of critical discourse analysis to examine the terms reform, corruption, and terrorismin Jordanian media before, during, and after the Arab Spring. The study builds three sub-corpora representative of the three periods under investigation: the pre-uprising corpus consists of 2059 news items from 2005 to 2009; the during-uprising corpus includes 2957 news items from 2011 to 2012; and the post-uprising corpus has 2436 news items from 2016 to 2017. In data analysis, the study uses the tools provided by AntConc software program to uncover the sociopolitical factors and challenges associated with reform, fightingcorruption, and counteringterrorism in Jordan. The findings of the study reveal that local news stories about terrorism, corruption, and reformdiffer significantly in terms of frequency and content in the pre-, post-, and during-uprising periods. The study indicates that sociopolitical conditions influence news coverage of the topics reform, corruption, and terrorismand thatnews articles are the medium where socialand political events are manifested.
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