• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Science, Education, and Technology >Corruption in Media Construction: Superstructure Analysis of Corruption News Texts in Indonesian National Private Television
【24h】

Corruption in Media Construction: Superstructure Analysis of Corruption News Texts in Indonesian National Private Television

机译：媒体建设的腐败：印度尼西亚国家私营电视腐败新闻文本的超结构分析

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

One of the topics that always appear and attract attention is the news of corruption on television. This topic alwaysappears to be headline news. This happens because corruption almost always occurs in Indonesia even it has been entrenched. Corruption has become the lifestyle of our officials. This research is aimed at analyzing textual practice in corruption news texts in Indonesian national private television. The research is descriptive qualitative study by employing critical discourse analysis theory proposed by Van Dijk. The method of data collection employed simak method by using the advanced rekam and catat technique. The analysis used in this study is the discourse analysis technique proposed by Teun A van Dick. The results showed that the textual dimension of superstructure aspects of corruption news text in television tends to stand up for refusal and critics of the corruption. The news reporters from Metro TV tend to use informal style, euphemistic expression, and passive voice. However, those from NET use simple diction, active sentence, and metaphor. From those findings, generally, the news reporters tend to marginalize the corruptors and give a positive image to the law enforcement.
机译：总是出现并引起注意的一个主题是电视上的腐败消息。这个主题始终appears是标题新闻。这发生了因为腐败几乎总是在印度尼西亚发生的腐败。即使它已经根深蒂固了。腐败已成为我们官员的生活方式。本研究旨在分析印度尼西亚国家私营电视腐败新闻文本的文本实践。该研究是通过采用Van Dijk提出的关键话语分析理论来描述性定性研究。数据收集方法采用Simak方法使用先进的REKAM和CATAT技术。本研究中使用的分析是TEUN A VAN DICK提出的话语分析技术。结果表明，电视中腐败新闻文本的超级结构方面的文本维度往往倾向于拒绝腐败的拒绝和批评者。来自地铁电视的新闻记者倾向于使用非正式风格，委婉表达和被动的声音。但是，来自净用的那些简单的词汇，活动句子和隐喻。通常，这些调查结果通常，新闻记者往往会使腐败者边缘化并对执法进行积极的形象。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号