Examining the Connection Between the Color Scheme of Event Announcement Images and View Counts on Social Media Through Machine Learning Models

Authors

  • Kayu Morishige Hiroshima Institute of Technology
  • Daichi Inoue D2C Inc.
  • Shimpei Matsumoto Hiroshima Institute of Technology

DOI:

https://doi.org/10.52731/liir.v006.374

Keywords:

CNN, SHAP, Machine Learning, Social Media

Abstract

In this study, we examined whether there is a relationship between the colors used in event announcement images and the number of views. We compared two machine learning models: a conventional model using event images, latitude/longitude, and titles as explanatory variables, and a proposed model incorporating the number of colors, representative HSV colors, latitude/longitude, and titles. The results showed that the proposed model performed similarly to the conventional model. Further analysis revealed that the number of colors and HSV values influenced the number of views. Therefore, it was revealed that the colors in event announcement images are related to the number of views.

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Published

2025-10-03