ORCID Profile
0000-0001-5513-1217
Current Organisations
University of Wollongong
,
University of Sydney
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Walter de Gruyter GmbH
Date: 03-05-2016
DOI: 10.1080/21698252.2016.1244407
Abstract: This paper is concerned with the nature of storytelling and how different types of story or narrative might be classified and characterised by reference to their generic structures and ultimate social functions. More specifically, it is concerned with Persian/Farsi-language reports of crimes in Iranian newspapers. It describes and analyses the various ways in which these texts are organised structurally, informationally and with respect to “newsworthiness”, the various ways in which they deal with chronological sequence and the various ways in which they position the reader attitudinally vis-à-vis the events described and/or their protagonists. In so doing, it provides insights into the similarities and differences between these instances of Persian/Farsi journalism and what the journalism studies literature has presented as “typical” of modern news reports in English and other languages. It also provides insights into the nature of these Iranian crime reports as instances of storytelling or narrative, proposing that taxonomies of the different subtypes of storytelling outlined in the Sydney Genre School literature should be refined to accommodate the modes of storytelling observed in the authors’ data set of crime reports.
Publisher: SAGE Publications
Date: 04-05-2016
Publisher: SAGE Publications
Date: 03-05-2019
Publisher: Informa UK Limited
Date: 02-07-2020
Publisher: SAGE Publications
Date: 11-01-2019
Publisher: John Benjamins Publishing Company
Date: 23-08-2022
Abstract: This paper explores communing affiliation and out-grouping in a corpus of Trump’s tweets about Iran. Communing is a form of ‘ambient affiliation’ ( Zappavigna 2011 ) which offers a way of understanding how Trump attempts to build alignments with his audience without necessarily directly engaging with them, since he tends to ignore replies to his tweets. The paper focuses on three affiliation strategies: convoking (mustering community), promoting (garnering attention), and finessing (dialogistic positioning). It draws on Martin and White’s (2005) Appraisal framework to consider how these affiliation strategies are used to foster communing around ideation-attitude couplings, typically couplings associating Iran with negative judgement or appreciation . P romoting affiliation was found to be the most prominent affiliation strategy used by Trump to garner attention through his rhetorical tendency toward hyperbole.
Publisher: John Benjamins Publishing Company
Date: 30-08-2023
Abstract: The diplomatic relationship between the USA and Iran has long been fraught and is characterised by various conflicts and the implementation of economic sanctions. It can be argued that the relationship became even more hostile after Donald Trump was elected president of the US. Trump’s sentiments towards Iran were made public through his behavior on Twitter, both before and after he took over the Presidency. These sentiments have been a mix of negative and sometimes positive views and opinions. This study uses a corpus of Trump’s tweets that explicitly mention ‘Iran’ as the basis of a linguistic analysis and applies to it the analytical framework of appraisal from Systemic Functional Linguistics. More specifically, this study focuses on how he established an Us vs. Them dichotomy. While the analysis shows that Iran has been generally portrayed negatively by Trump, there were several tweets where the Iranian government was appraised positively, too. More interestingly, in those tweets, he seemed to target Obama and democrats and represent them negatively while Iran was assessed in positive terms.
Publisher: Elsevier BV
Date: 03-2018
No related grants have been discovered for Mohammad Makki.