Multilateral visual expression using real-time SNS disaster issue data: Focusing on the ECHO_EARTH Project
Miohk Ryoo · TECHART Journal of Arts and Imaging Science · 2021
This study extracts real-time keyword issues and expresses them from multiple perspectives, focusing on relevant data that spreads with the detection of real-time disasters and environmental abnormalities. To this end, the study establishes selective words included in Twitter, analyzes the spread and network of these issues, and objectively applies the category of disaster information to various ways of expression. Furthermore, the study seeks to spontaneously collect data keywords on disasters and implement them with installation through multifaceted visual expression. Finally, the boundary of various visual expressions is expanded based on the visual expression of data for application in various fields.