OICC Press Journal of New Trends in English Language Learning (JNTELL) 2821-2290 4 1 2025 04 23 Linguistic Construction of Domination and Demonization in Political Discourse: A Critical Analysis of Donald Trump's Islamophobic Rhetoric 10.57647/jntell.2025.0401.04 EN Hussamaldeen Nidhal Hadi Al-Sabbagh Department of English, Isf. C., Islamic Azad University, Isfahan, Iran https://orcid.org/0009-0003-3099-8545 Ehsan Rezvani Department of English, Isf. C., Islamic Azad University, Isfahan, Iran https://orcid.org/0000-0001-8996-0312 Basim Jubair Kadhim Al-Jameel The Open Educational College-Najaf Center, Ministry of Education, Najaf, Iraq Bahram Hadian Department of English, Isf. C., Islamic Azad University, Isfahan, Iran https://orcid.org/0000-0003-4337-3491 Journal Article 2025 04 23 This research analyzed the lexicon and rhetoric of Trump's Islamophobic tweets. The study analyzed Trump's portrayal of Muslims and the Arab world as deserving enslavement, hostile, and marked by institutionalized incivility. It also examined how his remarks reinforced biases against Muslims and Arabs.1The research analyzed how Trump's vocabulary of dominance, demonization, and incivility legitimized dehumanizing language in public discourse, tweets, and his Islamophobic rhetoric throughout the 2016 and 2024 presidential elections. The aims were achieved by a descriptive mixed-methods study including both qualitative and quantitative methodologies. Understanding the "why" and "how" of Trump's rhetoric required Critical Discourse Analysis (CDA). The Ideological Square Model and discourse macro-strategies were utilized to analyze selected Trump tweets regarding Islam, Muslims, and related subjects. The frequency of discursive tactics and their statistical significance were evaluated by frequency counts and Chi-Square analysis.1There were 87 carefully curated tweets from Trump officials concerning Muslims. This data includes his presidency from 2017 to 2021 and his re-engagement with Twitter from 2022 to 2024. Quality surpassed quantity in tweets. Alongside the tweet corpus, opinion articles, social media debates, news websites, and public statements were collected to examine Trump's address. Diverse volunteers participated in virtual focus groups to assess audience reactions to his talk. All data were analyzed with NVivo to discern patterns, themes, and discursive techniques.1Trump denigrated Muslims with inflammatory remarks, claims of superiority, derogatory depictions, and euphemism expressions. He employed "us vs. them" rhetoric to cultivate prejudices and intolerance. The study revealed that Trump's lexicon validated abusive discourse by fostering fear and distrust while emphasizing key themes. The investigation showed that Trump's divisive and contentious tweets helped reinforce extreme viewpoints, intensify echo chambers, and evoke feelings of fear and mistrust.1 Analysis showed that Trump's Islamophobia started between 2016 and 2024. Legislative actions fueled by Islamophobia started with the election campaign in 2016, but in 2024, veiled language with covert attacks was utilized in an attempt to win over Muslim and Arab electorates. Quantitative analysis showed fluctuations in the rhetoric adopted during the campaign. As language constructs social reality, it is important to counteract bias and instill tolerance and comprehension, according to current studies.