Picturing Presidents in Conflict Times: A Content Analysis of Photographs in CNN | ||||
| المجلة العربية لبحوث الاعلام والاتصال | ||||
| Article 8, Volume 2021, Issue 32, March 2021, Page 2-31 PDF (1.27 MB) | ||||
| Document Type: بحوث علمیة متخصصة فی مجال الاعلام والاتصال. | ||||
| DOI: 10.21608/jkom.2021.170775 | ||||
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| Author | ||||
| Ralla Mansour* | ||||
| , Lecturer at Mass Communication Department Faculty of Arts, Ain Shams University | ||||
| Abstract | ||||
| This study analyzes the depiction of the presidents of the great nations during the conflict times in CNN (Cable News Network) website. The present study will depend on a great extent on the visual framing theory in order to be able to identify the frames that appeared in the visual coverage of those presidents, according to the presumption of veracity that readers ascribe to the role of photographs in producing the meaning. Therefore, this study will be considered very timely. The analysis is meant to focus on explaining how the international website presented the pictures of those presidents and how they are visually framed (involved or not, interacting or not… etc.). Also, the analysis will be based on (position of presidents focused or unfocused “foreground, background”, camera angle, types of shots… etc.). The study will depend on the Survey method which is considered one of the most important basic research methods in Social Sciences, the study will analyze a period of three months. A website is analyzed, which is CNN (Cable News Network). In general, CNN did not try to provide a balanced visual coverage of the president bias or preferential treatment, which can be evaluated in a number of ways. Some studies focus on the amount of space allocated for president, others consider We predicted that President Trump's photos would be more favorable than other presidents in terms of behavior, context, and perspective. By comparing the results, it was not as predicted. | ||||
| Keywords | ||||
| Visual Framing Theory; Conflict Times; Picturing Presidents; Visual Coverage | ||||
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