جستجوی مقالات مرتبط با کلیدواژه "اجزاء قالب" در نشریات گروه "ادبیات و زبان ها"

 According to the outbreak of Covid-19, experts and politicians are working to inform people completely about the crisis in their country and around the world. In the meantime, the use of the metaphor of "war" as a linguistic instrument is very common. Therefore, the present study examines the metaphor of "war" in the domestic and international news statements and texts related to the Covid-19 disease based on The Frame Semantics theory. This research is a descriptive- analytic research. To this end, the metaphors of the domestic news statements related to COVID-19 were selected from 20:30 news and online news, ISNA and IRNA, and the metaphors of the international statements related to COVID-19 were gathered from Guardian news, New York Times news and the website of Twitter. 500 metaphors in these texts were extracted through “Metaphor Identification Procedure” pattern suggested by Pragglejaz. Then, the metaphors located in the “disease” semantic frame and their frame elements were identified. The findings demonstrated that to create metaphors, the core and non-core elements of the frame play a more tangible semantic role. For example, the core element patient in the “disease” frame enters the "war" frame and plays the semantic role of one of the parties as the core element. On the other hand, the core elements of the frame such as case and purpose and non-core elements including duration, tools, method, position, size, result, time and place of war can get a role in the frame of disease.

This study deals with comparing the metaphors in Persian news texts related to Covid-19 disease within the two periods of the initial outbreak and its peak in October 2020 based on the Frame Semantics Theory. This research is a descriptive-analytic research. To this end, by using the news texts in Keyhan and Shargh newspaper, 20:30 news and online news agnecies, ISNA and IRNA, the metaphors related to COVID-19 were selected. 600 metaphors in these texts were extracted through “Metaphor Identification Procedure” pattern suggested by Pragglejaz. Then, the metaphors placed in the “disease” semantic frame, and their frame elements were identified. Finally, the frequency of the most used metaphors including "Corona is war", "Corona is a natural phenomenon", "Corona is a travel" and "Corona is another living thing" in the two periods between the initial outbreak  and the third peak in October 2020 were determined. The SPSS software was used for data analysis, and data were compared with each other. The findings demonstrated that in the beginning of the disease outbreak, the "Corona is war" metaphor is the most used metaphor in news texts with 44% frequency. But, during its peak in October 2020 coinciding the beginning of the cold season, the "Corona is war" metaphor has the highest rate of use among metaphors with 83% frequency. The results showed that there is a significant difference between the use of "corona is war" metaphor in the beginning of the disease outbreak and the peak time of the disease in October 2020.