A Contrastive Corpus-Based Approach to the Expression of Adversarialness across English and Persian
A Case Study of Political Press Conferences
Datos Bibliográficos
| ID | 7448482 |
|---|---|
| Autores | Bahar Pourshahian (0000-0001-5712-4328, Jahrom University, autor de correspondencia), Shouket Ahmad Tilwani (0000-0002-8608-5134, Prince Sattam Bin Abdulaziz University), Azam Naserpour (0000-0002-2398-7616, University of Ayatollah Ozma Broujerdi, Borujerd City, Iran) |
| Editores | Lanndon Ocampo |
| Año | 2022 |
| Volumen | 2022 |
| Páginas | 1-11 |
| Fecha de publicación | 2022-05-06 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Education Research International (JOURNAL) |
| Identificadores de la revista | ISSN: 2090-4010 • E-ISSN: 2090-4002 |
| Editorial | Hindawi Publishing Corporation (PUBLISHER • GB) |
| DOI | 10.1155/2022/4674045 |
| OpenAlex | W4229038674 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 37 |
With the point of departure in discourse analysis (DA), this corpus comparative study concentrated on sequences with adversarial questions in political press conferences to investigate the differences in the use of adversarial questioning between two contexts, namely, English and Persian political press conferences, and particularly highlight the strategies which were used by journalists in such sequences of talk journalists and politicians so as to show the importance of improving linguistic proficiency in EFL context. For this reason, this study analyzed a corpus of data from some political press conferences with American and Iranian Government which is randomly selected from appropriate websites between 2007 and 2021. The study applied Clayman, Heritage, and McDonald (2006) for quantifying adversarial questions as exhibited by the press to the questions addressed the Presidents of Iran and the United States. Questions from selected conferences were coded according to adversarialness. Frequency and chi-square tests were used for analysis. The results showed significant difference across the 2 corpora in some journalists’ questions. In terms of question design, accountability questions in Iranian journalists’ questions as Persian corpus indicated higher frequency. In addition, in referencing frames, higher frequency was observed in declarative questions in Persian corpus. However, English corpus displayed higher frequency in other-referencing frames. Finally, in content adversarialness, global adversarialness indicated higher frequency in Persian corpus. Consequently, the results showed that adversarial questions were used in Persian corpus more significantly than English corpus. The results of the study not only will help the students gain linguistic competence, but it will also improve their overall language proficiency
Adversarial system · Competence (human resources · Context (archaeology · Government (linguistics · Linguistics · Persian · Political science · Politics · Discourse Analysis in Language Studies · Hate Speech and Cyberbullying Detection · Language, Discourse, Communication Strategies · Psychology · History · Law · Philosophy · Social Psychology
Comparing Media Systems
Corpus Linguistics at Work
Approximative Systems of Foreign Language Learners
Interlanguage
Cross-cultural pragmatic differences in US and Chinese press conferences
Journalist questions
How China-based foreign reporters' aggressiveness changed
Cooperative or Adversarial? Journalists’ Enactment of the Watchdog Function in Political News Production
The President’s Questioners
Adversarial moments
Questioning Presidents
When Does the Watchdog Bark? Conditions of Aggressive Questioning in Presidential News Conferences
Historical Trends in Questioning Presidents, 1953-2000
Cognition, Language Contact, and the Development of Pragmatic Comprehension in a Study-Abroad Context
Introduction to Second Language Pragmatic Development
The limits of questioning
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2025 - 2025 (1) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |