Technology, Emotion and Democracy: Understanding the Dynamic Through Analyzing Conversation in Twitter

Indro Adinugroho, Smita Sjahputri, Judotens Budiarto, R. Muhamad
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引用次数: 3

Abstract

Innovation in technology brings tremendous impact in various areas, including the issues of democracy, politics and government. In this study, authors observe twitter as a digital medium to gather people from diverse background to com- municate each other. Conversation in twitter, known as tweet, could be a gate to represent various political issues. This study aims to analyze valence and arousal of Indonesia’s top political topics in twitter started from November 2015 until May 2016. Top political topics are collected with one primary keyword, jokowi. Each topic is represented with various tweets from different users. The data is collected by specialized computer software namely tracker developed by Provetic Lab. As an attempt to analyze tweets, authors used Algoritma Kata (AK) as the primary instrument to analyze valence and arousal contained in each topic. Re- sult shows when users talked about jokowi and kebanggaan (pride), the conver- sation contained positive valence and high excitement in arousal level. Whereas, when users discussed corruption and other scandal involving Government, the conversation turned into negative valence with different arousal level.
技术、情感与民主:通过分析推特中的对话来理解动态
技术创新给各个领域带来了巨大的影响,包括民主、政治和政府问题。在本研究中,作者观察到twitter作为一种数字媒介,聚集了来自不同背景的人们相互交流。在推特上的对话,被称为推特,可能是一个代表各种政治问题的大门。本研究旨在分析2015年11月至2016年5月印度尼西亚twitter上的热门政治话题的效价和唤醒。最热门的政治话题是用一个关键字“佐科威”收集的。每个主题由来自不同用户的各种tweet表示。数据由Provetic实验室开发的专用计算机软件tracker收集。为了分析推文,作者使用了Kata算法(AK)作为主要工具来分析每个主题中包含的价态和唤醒。结果表明,当用户谈论“骄傲”和“骄傲”时,会话包含正效价和高兴奋性的唤醒水平。然而,当用户讨论腐败和其他涉及政府的丑闻时,对话转向负效价,且唤醒水平不同。
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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