Identifying Presidential Candidate Keywords in Indonesia Online Political News Using Word Embedding

Lidiya Yuniarti*, Nur Aini Rakhmawati, Rarasmaya Indraswari

*Corresponding author for this work

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

Abstract

The rapid development of online news portals has created intense competition in Indonesia's online news industry. Political reporting on the president in mass media, including online news, plays a crucial role in the electoral process and in shaping public opinion. However, this reporting tends to be susceptible to issues that can influence the public's perception and political participation. Therefore, it is important to identify similarities in words related to Indonesian presidential candidates through online media coverage. The methodology used in this study employs word embedding using the Word2Vec model to predict the similarities in words associated with these presidential candidates. The Word2Vec analysis regarding presidential candidates demonstrates the correlation of keywords with each candidate. Anies Baswedan is associated with politics and support, Muhaimin Iskandar with familial relationships, Mahfud MD with other notable figures, and Prabowo Subianto indicates potential in the election. Ganjar Pranowo's connection is with his current position and potential future candidacy, while Gibran Rakabuming Raka is linked to his role as mayor and association with Solo.

Original languageEnglish
Title of host publication2024 7th International Conference on Informatics and Computational Sciences, ICICoS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages18-23
Number of pages6
ISBN (Electronic)9798350375886
DOIs
Publication statusPublished - 2024
Event7th International Conference on Informatics and Computational Sciences, ICICoS 2024 - Hybrid, Semarang, Indonesia
Duration: 17 Jul 202418 Jul 2024

Publication series

NameProceedings - International Conference on Informatics and Computational Sciences
ISSN (Print)2767-7087

Conference

Conference7th International Conference on Informatics and Computational Sciences, ICICoS 2024
Country/TerritoryIndonesia
CityHybrid, Semarang
Period17/07/2418/07/24

Keywords

  • Presidential Issues
  • Word Embedding
  • Word2Vec

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