CNN 阿拉伯语 Instagram 上巴勒斯坦和以色列新闻的意识形态定位(实用网络研究)

Annisa Khairunnisa
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引用次数: 0

摘要

长期以来,巴以冲突一直是一个备受关注的话题,社交媒体在扩大围绕这一复杂问题的讨论方面发挥着举足轻重的作用。然而,人们只是从理论的角度对这一主要现象进行了研究。在虚拟领域中,"perlocutions "对这一现象的具体影响还有待研究。因此,本研究将以实用网络方法揭示这一现象。研究数据包括 2022 年 1 月至 2023 年 5 月期间发布的 CNN 阿拉伯语 Instagram 叙事中的语言特点。数据收集使用了 simak 和 sadap 技术,并辅以描述性和反思性笔记。数据分析采用了语用网络视角,并使用了将语言元素和语言外元素进行关联比较的 padan 方法。结果显示,在整个 2022-2023 年期间的 17 个职位中,有 40 个数据。13个数据(30%)发现会话是为了吸引注意力;11个数据(27%)发现会话是为了引起好奇;8个数据(20%)发现会话是为了分散注意力;5个数据(10%)发现会话是为了鼓励;2个数据(5%)发现会话是为了尴尬;1个数据(2%)发现会话是为了恐吓。这一结果表明,CNN 阿拉伯语频道倾向于尽可能巧妙地维护以色列的形象:"吸引注意力"。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ideological Perlocutions of Palestinian and Israeli News on CNN Arabic Instagram (Pragmatic Cyber Study)
The Palestine-Israel conflict has long been a deeply scrutinized subject, with social media playing a pivotal role in amplifying discussions around this complex issue. However, this dominant phenomenon has only been studied in aspects of discourse with a theoretical purpose. The concrete implications seen from perlocutions in the virtual realm have yet to be reviewed related to this phenomenon. Therefore, this research will reveal it with a pragmatic cyber approach. The research data included language features in the narrative of CNN Arabic Instagram posted throughout January 2022-May 2023. Data were collected using simak and sadap techniques and supplemented by descriptive and reflective notes. The data were analyzed with a pragmatic cyber perspective with a padan method correlating the comparison between lingual and extra-lingual elements. The results showed that in 17 posts throughout 2022-2023 with 40 data. 13 data (30%) found perlocutions to attract attention; 11 data (27%) perlocutions to arouse curiosity; 8 data (20%) perlocutions to distract; 5 data (10%) perlocutions to encourage; 2 data (5%) perlocutions to embarrass; and 1 data (2%) perlocution to frighten. This result indicates CNN Arabic's tendency to maintain Israel's image most subtly and tactically possible: to "attract attention".
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