Demographic Analysis of Candidates Supporter in Twitter during Indonesian Presidential Election 2019

Thaufan Ardi Arafat, Indra Budi, Rahmad Mahendra, Dena Aurum Salehah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In today's political world, the use of social media as a medium to convey political views and using it for campaign has become a very common thing. Social media can be used to express one's expression both in supporting a political party and someone who is running for politics. Twitter is one of the social media that is often used for campaign, this is because of Twitter's unformal and chronological feature. But Twitter also has weakness such as the absence of demographic information. Therefore, this study aims to find out the demographic patterns of supporter of each Indonesian Presidential candidate 2019 on Indonesian language Twitter. For searching the demographics, this study using text classification method and dictionary of names and genders. The dictionary comes from KPU permanent voter data. Demographic labels used in this study consist of male, female, generation Z, millennial generation, generation X+, outside Java and Java. To determine the political preference, this study uses the sentiment analysis method that is suitable for short sentences, namely the SentiStrength method. The results of this study indicate that most Twitter users who actively talk related to the politics of 2019 Presidential and Vice-Presidential elections are women with millennial age categories or 25-39 years old.

Original languageEnglish
Title of host publication7th International Conference on ICT for Smart Society
Subtitle of host publicationAIoT for Smart Society, ICISS 2020 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780738143552
DOIs
Publication statusPublished - 19 Nov 2020
Event7th International Conference on ICT for Smart Society, ICISS 2020 - Virtual, Bandung, Indonesia
Duration: 19 Nov 202020 Nov 2020

Publication series

Name7th International Conference on ICT for Smart Society: AIoT for Smart Society, ICISS 2020 - Proceeding

Conference

Conference7th International Conference on ICT for Smart Society, ICISS 2020
Country/TerritoryIndonesia
CityVirtual, Bandung
Period19/11/2020/11/20

Keywords

  • demographic analysis
  • sentiment analysis
  • text classification

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