Representation of Muslim Minorities in Politicians’ Discourse
Jacinda Ardern vs. Donald Trump
Bibliographic Data
| ID | 6085264 |
|---|---|
| Authors | Ali Jalalian Daghigh (0000-0001-7418-7048), Hajar Abdul Rahim (0000-0002-6852-9766) |
| Year | 2020 |
| Volume | 40 |
| Issue | 2 |
| Pages | 179-195 |
| Publication date | 2020-04-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Institute of Muslim Minority Affairs Journal (JOURNAL) |
| Journal identifiers | ISSN: 0266-6952 • E-ISSN: 1469-9591 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13602004.2020.1773099 |
| OpenAlex | W3034170550 |
| Language | EN |
| Citations received | 7 |
In Muslim-minority countries where Islam and Muslims are often framed negatively in the media, the discourse of political leaders can play an important role in breaking down the dichotomization between Muslims and non-Muslims, especially in the West. Based on an integration of different critical discourse analysis (CDA) approaches, this study analyses the characteristics of the discourse of Jacinda Ardern, New Zealand Prime Minister, and Donald Trump, United States President, regarding the March 2019 mosque shootings in New Zealand. The analysis of their responses to the attacks as well as representation of Muslims suggest that Trump's texts and talk are strongly preoccupied with anti-Muslim discourse to legitimize his ideology of white supremacy, while Arden's strive to fracture the dichotomization between Muslims and other New Zealanders, embracing co-existing values. Arden's anti-orientalist discourse is recommended as an example that can inspire change to the orientalist stance dominating the West
Critical discourse analysis · Discourse analysis · Ideology · Islam · Islamophobia · Linguistics · Media studies · Orientalism · Political science · Politics · Representation (politics · Sociology · Gender Studies · History · Law · Philosophy · Terrorism, Counterterrorism, and Political Violence
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| Unique citing works | 7 |
|---|---|
| Citations per year | 1,17 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |