MANAGING INTERPERSONAL MEANING IN SOCIAL MEDIA: A CASE STUDY OF INDONESIAN LANGUAGE USE

Putu Nur Ayomi
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引用次数: 2

Abstract

Social media has become an important platform for everyone to broadcast information, opinions, and emotion freely and borderless in today's society. Among other social media, Twitter is the most well-known social media platform for idea-sharing. With a resource such as hashtags, people can search, follow, and contribute to a specific topic, which can create a nationwide and even worldwide discussion. With such a high engagement between users, how the twitter users use language to manage interpersonal role-relationship effectively will determine how smooth a communication goes. Character education is an integral part of Indonesia's education system. Therefore, in this internet era, it is also essential to understand the language resources of interpersonal meaning that students can exploit to engage more positively while exercising their freedom of expression in social media. This study draws upon the Systemic Functional Linguistic's (SFL) theory of interpersonal metafunction (Halliday, 1978; Halliday & Matthiessen, 2014; Martin, 1992) that focuses on Mood and Modality and the Appraisal system (Martin, J.R.; White, 2005). As a case study, the data are taken from a trending topic in Indonesia Twitter, by choosing purposively some data that can best reflect the variety of interpersonal meaning.This study shows that specific interpersonal language resources can produce a more negotiated stance and solidarity that can lessen personal conflicts between users and encourage more positive communication.
社交媒体中人际意义的管理:以印尼语使用为例
在当今社会,社交媒体已经成为每个人自由、无国界地传播信息、观点和情感的重要平台。在其他社交媒体中,Twitter是最著名的思想分享社交媒体平台。有了像标签这样的资源,人们可以搜索、关注和贡献一个特定的话题,这可以创建一个全国性的甚至是世界性的讨论。在用户参与度如此之高的情况下,twitter用户如何有效地使用语言来管理人际角色关系将决定沟通的顺畅程度。品格教育是印尼教育体系的重要组成部分。因此,在这个互联网时代,了解人际意义的语言资源也很重要,学生可以利用这些语言资源在社交媒体上更积极地参与,同时行使言论自由。本研究借鉴了系统功能语言学的人际元功能理论(Halliday, 1978;Halliday & Matthiessen, 2014;Martin, J.R., 1992),主要研究情绪和情态以及评价系统(Martin, J.R.;白,2005)。作为一个案例研究,数据取自印度尼西亚Twitter的一个热门话题,通过有目的地选择一些最能反映人际意义多样性的数据。本研究表明,特定的人际语言资源可以产生更协商的立场和团结,可以减少用户之间的个人冲突,鼓励更积极的沟通。
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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