An Analysis on Mixed English-Indonesian Demonstration Banners on Instagram

Min Adlina, E. Setia, T. Zein
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Abstract

Indonesia is currently experiencing a significant heated political upheaval as many students from various universities took to the streets to express their dissatisfaction with the House of Representatives (DPR). This research was more focused on identifying the type of sarcasm in the demonstration banner against the criminal code bill that were occurred in 2019 as the movement of the sea of Indonesian students in voicing opinions and forms of harsh criticism to the government policies that are considered detrimental to the people. The research used qualitative method. The data used in this research were 48 demonstration banners against the Criminal Code Bill on the Instagram account. The results showed that propositional sarcasm was obtained as much 10 data (21%), lexical sarcasm was 11 data (23%), illocutionary sarcasm was 26 data (54%) with sentimental contradiction (18 data), manner violation (1 data), lexical contradiction (3 data), and hyperbolic combination (3 data), while ‘like’ prefixed sarcasm was 1 data (2%) from 48 sarcasm in the demonstration banner against the criminal code bill. This research could also be a reference material for the researchers who want to research the topics that were relevant to this research. For the readers, it was expected to understand and take lessons from the result of research for application in social life.
Instagram上英印尼混合示威标语分析
印尼目前正经历激烈的政治动荡,多所大学的学生纷纷走上街头,表达对众议院的不满。这项研究更侧重于识别2019年发生的反对刑法法案的示威标语中的讽刺类型,这是印度尼西亚学生海洋对被认为有害于人民的政府政策表达意见和严厉批评的运动。本研究采用定性方法。本次研究使用的数据是Instagram账户上48条反对刑法法案的示威横幅。结果表明:在反对刑法法案的示威标语中,以情感矛盾(18条数据)、行为违规(1条数据)、词汇矛盾(3条数据)、双曲组合(3条数据)为基础的命题讽刺获得了10条数据(21%),词汇讽刺获得了11条数据(23%),言外讽刺获得了26条数据(54%),以“like”为前缀的讽刺从48条讽刺中获得了1条数据(2%)。本研究也可以为想要研究与本研究相关主题的研究人员提供参考资料。对于读者来说,希望能够理解并从研究结果中吸取教训,并将其应用于社会生活。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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