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

机译:技术,情感和民主:通过分析Twitter中的对话来了解动态

摘要

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\u27s 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.
机译:技术创新在包括民主,政治和政府在内的各个领域带来了巨大影响。在这项研究中,作者观察到Twitter是一种数字媒体,可以吸引来自不同背景的人们进行交流。 Twitter中的对话(称为tweet)可能是代表各种政治问题的大门。这项研究旨在分析从2015年11月至2016年5月开始在推特上印尼最重要的政治话题的价位和唤起力。主要使用一个主要关键词jokowi收集最重要的政治话题。每个主题都有来自不同用户的各种推文表示。数据由专业计算机软件(即Provetic Lab开发的跟踪器)收集。为了分析推文,作者使用Algoritma Kata(AK)作为分析每个主题中的价和唤醒的主要工具。结果表明,当用户谈论“ jokowi”和“ kebanggaan”(骄傲)时,这种转换包含积极的价态和唤醒时的兴奋感。而当用户讨论腐败和其他涉及政府的丑闻时,谈话变成了不同唤醒水平的消极价格。

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