社会媒体抗议与抵抗:以印尼创造就业法案政策与缅甸政府政变议题为例

Misran Misran, A. Sutan, David Efendi
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引用次数: 0

摘要

本研究旨在分析社会媒体对创造就业法案政策的抗议和抵制以及政府政变的问题。印度尼西亚的抗议和抵抗以2020年10月《创造就业法案》的形式出现。与此同时,2021年2月缅甸发生的抗议和抵抗活动与军事政变有关。分析的对象与使用社交媒体平台来讨论印度尼西亚关于创造就业机会的综合法案的拒绝和缅甸军方对政府政变的拒绝有关。本研究使用的方法是定性方法与定性数据分析软件(Q-DAS)的分析方法。本研究的数据来源使用二手数据,从社交媒体Twitter获取数据。本研究的发现包括缅甸和印度尼西亚使用社交媒体传达抵抗历史的叙事和主题以及反应。其次,缅甸的抗议和抵抗标签之间的关系比印尼更为密切。这表明哈斯塔格斯与缅甸的关系比与印尼的关系更为密切。第三,印尼和缅甸所表现出的不同叙事和标签使用方式,与两国不同的标签有着相同的抗议和抵抗目标。在这两种情况下,社交媒体关系都得到了突出展示。Research Limitation是指对社交媒体数据的数据限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social Media Protest and Resistance: Case of Indonesia Job Creation Bill Policy and Myanmar Government Coup Issue
This study aims to analyze social media protests and resistance to the Job Creation Bill policy and the problem of a government coup. The protests and resistance in Indonesia were in the form of the Job Creation Bill in October 2020. Meanwhile, the protests and resistance in Myanmar in February 2021 were related to the Military Coup. The objects analyzed are related to the use of social media platforms to discuss the Rejection of the Omnibus law Bill on Job Creation in Indonesia and the Military's Rejection of the Government Coup in Myanmar. The method used in this research is a qualitative method with an analytical approach to Qualitative Data Analysis Software (Q-DAS). The data source in this study uses secondary data by taking data from social media, Twitter. The findings in this study include the narratives and themes and the reactions of Myanmar and Indonesia using social media to convey the history of resistance. Second, the relationship between the hashtags of protest and resistance in Myanmar is more substantial than in Indonesia. This shows that the relationship between Hastags and Myanmar is more potent than in Indonesia. Third, the distinctive narratives and use of hashtags displayed in Indonesia and Myanmar are connected with different hashtags with the same goal of protest and resistance in each country. In both cases, social media relationships are prominently displayed. Research Limitation is data limited on social media data.
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