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Iranophobia in Trump’s Social Media: Corpus-Assisted Critical Discourse Analysis

Jurnal Ilmu Sosial dan Ilmu Politik · Vol. 30 No. 1 (2026) · hlm. 106–124

DOI
10.22146/jsp.105744
ISSN
2502-7883, 1410-4946
Terbit
2026-10-07
Penerbit
Faculty of Social and Political Sciences, Universitas Gadjah Mada
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Strained diplomatic relations between Iran and the United States have historically been characterised by ongoing strife, involving sensitive issues like nuclear programs, economic penalties, and Middle Eastern power struggles. The tension intensified during Trump’s presidency. This study highlights the most favoured term used by the US President, Donald Trump, on social media to talk about Iran. It employs corpus-assisted critical discourse analysis (CACDA) combined with Fairclough's three-dimensional framework to examine Iranophobia in Trump's social media posts from 2016 to 2020 across X (formerly Twitter ), Facebook, and Instagram. The analysis was conducted at three levels: micro (keyword extraction, collocation, and concordance), meso (social media platform bias), and macro (global impact of Trump's Iran policies). Findings revealed Iranophobia across six categories: (1) war and conflict, (2) terrorism, (3) government and politics, (4) nuclear weapons, (5) economics, and (6) human rights. The meso- level analysis demonstrated that Trump's social media content was biased when depicting violence in the Middle East, which might explain why X blocked his account for inflammatory content with social impact in the US. The macro-level analysis indicated how Trump's harsh economic policies against Iran generated global Iranophobia. The research concludes that social media not only offers alternative discourse but can also recontextualise traditional media discourse in representing Iranophobia, albeit more aggressively and overtly.

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  • Universitas Islam Negeri Sultan Maulana Hasanuddin Banten
  • Syarif Hidayatullah State Islamic University Jakarta
  • Institut Agama Islam Al-Khairiyah
  • University of Aberdeen
  • Sunan Gunung Djati State Islamic University Bandung
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Rekan penulisOrganisasiArtikel bersama
Ashabul Kahfi SusantoUniversity of Aberdeen2
Gema Ika SariAfiliasi tidak diketahui1
Rohanda RohandaSunan Gunung Djati State Islamic University Bandung1
Yulia Zulpathul AizzaUniversitas Islam Negeri Sultan Maulana Hasanuddin Banten1
Moch Mu’izzuddinUniversitas Islam Negeri Sultan Maulana Hasanuddin Banten1
Faiza Nur KhalidaUniversitas Islam Negeri Sultan Maulana Hasanuddin Banten1
Mochamad Mui'zzudinUniversitas Islam Negeri Sultan Maulana Hasanuddin Banten1

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Sumber metadata: OAI-PMH (metadata jurnal) http://jurnal.ugm.ac.id/jsp/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Iranophobia in Trump’s Social Media: Corpus-Assisted Critical Discourse Analysis</dc:title>
	<dc:creator>Suhaili, Ahmad</dc:creator>
	<dc:creator>Sayogie, Frans</dc:creator>
	<dc:creator>Farkhan, Muhammad</dc:creator>
	<dc:subject xml:lang="en-US">diplomatic relations; Iranophobia; misrepresentation; nuclear program; traditional media discourse</dc:subject>
	<dc:description xml:lang="en-US">Strained diplomatic relations between Iran and the United States have historically been characterised by ongoing strife, involving sensitive issues like nuclear programs, economic penalties, and Middle Eastern power struggles. The tension intensified during Trump’s presidency. This study highlights the most favoured term used by the US President, Donald Trump, on social media to talk about Iran. It employs corpus-assisted critical discourse analysis (CACDA) combined with Fairclough's three-dimensional framework to examine Iranophobia in Trump's social media posts from 2016 to 2020 across X (formerly Twitter ), Facebook, and Instagram. The analysis was conducted at three levels: micro (keyword extraction, collocation, and concordance), meso (social media platform bias), and macro (global impact of Trump's Iran policies). Findings revealed Iranophobia across six categories: (1) war and conflict, (2) terrorism, (3) government and politics, (4) nuclear weapons, (5) economics, and (6) human rights. The meso- level analysis demonstrated that Trump's social media content was biased when depicting violence in the Middle East, which might explain why X blocked his account for inflammatory content with social impact in the US. The macro-level analysis indicated how Trump's harsh economic policies against Iran generated global Iranophobia. The research concludes that social media not only offers alternative discourse but can also recontextualise traditional media discourse in representing Iranophobia, albeit more aggressively and overtly.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Social and Political Sciences, Universitas Gadjah Mada</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2026-10-07</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:type xml:lang="en-US">Corpus-assisted critical discourse analysis</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.ugm.ac.id/jsp/article/view/105744</dc:identifier>
	<dc:identifier>10.22146/jsp.105744</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Sosial dan Ilmu Politik; Vol 30, No 1 (2026): July; 106-124</dc:source>
	<dc:source xml:lang="id-ID">JSP (Jurnal Ilmu Sosial dan ilmu Poltik); Vol 30, No 1 (2026): July; 106-124</dc:source>
	<dc:source>2502-7883</dc:source>
	<dc:source>1410-4946</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.ugm.ac.id/jsp/article/view/105744/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Jurnal Ilmu Sosial dan Ilmu Politik</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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