Digital Political Education Falls Short: Improving Content for Early Voters
- DOI
- 10.2991/978-2-38476-048-0_32How to use a DOI?
- Keywords
- Social media; Political education; Early voters; Digital platforms; Citizenry
- Abstract
This research explores the use of social media platforms as a means of political education for early voters. The aim is to identify the form and content of digital media platforms that can raise awareness and promote citizenry. The research methodology is qualitative, using Participatory Action Research (PAR), which includes in-depth interviews, focus group discussions, observations, and document analysis. The study finds that the existing digital content of political education focuses more on voter education rather than political education. As a result, the design of political education content needs improvement to develop political content. The research has implications for the design of digital platforms for political education, especially for early voters who cannot separate their daily lives from internet-connected devices.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Susilastuti Dwi Nugrahajati AU - Adi Soeprapto AU - Nikolaus Loy PY - 2023 DA - 2023/04/27 TI - Digital Political Education Falls Short: Improving Content for Early Voters BT - Proceedings of the International Conference on Advance Research in Social and Economic Science (ICARSE 2022) PB - Atlantis Press SP - 288 EP - 294 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-048-0_32 DO - 10.2991/978-2-38476-048-0_32 ID - Nugrahajati2023 ER -