The dynamic and rich expressions in social media such as Twitter are regarded as instigators of social change. The tweets from the debates on the Saudi royal decree granting women the right to drive in Saudi Arabia provide a platform for examining the public’s role in shaping national ideologies and societal changes. These tweets are subjected to Corpus-Assisted Discourse Studies, guided by the theories of Critical Discourse Analysis. Twitter’s Application Programming Interface, Hashtag selection, and Sketch Engine, is utilized to analyze a corpus comprising of 6,000 tweets from the supporters and opponents of the royal decree on women driving. The corpus includes tweets posted when the ban lifted in September 2017 and when licenses were issued in June 2018. The researcher further supplemented the computer processing of text with manual examination. The outcomes revealed discursive strategies and themes of opponents and supporters discourse. The Findings show that the anticipated negative and positive outcomes from the decree are used to justify the tweeters positions. Furthermore, the analysis shows that while the conservative oppositions’ pleas are from a protectionist stance, the supporters’ excitement are from the initiation of societal change that will advance the welfare of women. The major two themes of the anti-decree tweeters are (a) disappointment of the decree through supplication and (b) negation of visible presence of woman drivers. On the other hand, the major two themes of the pro-decree tweeters are a) analogy comparisons and b) celebrations. The findings further indicate the classification of tweeters to an in-group and out-group membership which justifies the referential and predicational strategies used by tweeters.

The issue of women driving remains to be highly debated in Saudi Arabia. Recent developments on its legalization have sparked conversation and discourse, particularly in social media sites like Twitter. Several hashtags have been used to indicate either support or criticism towards the movement.

Examining Twitter tweets and hashtags, the study explored how the discourse on women driving had been executed, particularly in between genders. The study analyzed a sizeable number of tweets as well as their context via linguistic corpora analysis. Following Norman Fairclough’s framework, the two opposing perspectives were investigated both at a level of textual analysis. The selected tweets were representative of the three hashtags that emerged on the heat of the discourse regarding the issue of women driving in Saudi Arabia: #Women_car_driving, #I_will_drive_my_car_June15, and #I_will_enter_my_kitchen_June15.

The results showed, among others, that tweets with the hashtag #Women_car_driving presented a tremendous support towards the movement. On the other hand strong opposing reactions emerged from the hashtags #I_will_drive_my_car_June15 and #I_will_enter_my_kitchen_June15.