Research on Visual Transformation of Network Pictographs: A Case Study Based on the Reconstruction of Ancient Chinese Character Imagery
- DOI
- 10.2991/978-2-38476-509-6_78How to use a DOI?
- Keywords
- Network Hieroglyphics; Image Reconstruction; Cross-Media Communication; Modern Translation
- Abstract
With the rapid advancement of digital media, network pictographs—including kaomoji, emojis, and other visual symbols—have emerged as vital tools for cross-cultural communication. Chinese characters, as the only ideogram system that is still widely used in the world, its ancient oracle writing, gold writing and other forms themselves contain extremely rich visual images and symbolic con-notations, and are the crystallization of the wisdom of the ancestors. This study investigates the visual transformation mechanisms of network pictographs and their intrinsic relationship with the conceptual reconstruction of imagery of ancient Chinese characters. By analyzing representative cases, the research high-lights three key aspects: the flexibility of symbolic forms, the continuity of cultural metaphors, and the adaptability of cross-media dissemination. Research has found that online hieroglyphics have achieved modern translation of the logic of "expressing meaning through imagery" of ancient Chinese characters through deformation strategies such as simplification, exaggeration, and symbol recombination, providing theoretical basis and practical inspiration for the inheritance and innovation of Chinese character culture in the digital age.
- Copyright
- © 2025 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 - Like Li AU - Jinghua Long AU - Yalei Wang PY - 2025 DA - 2025/12/15 TI - Research on Visual Transformation of Network Pictographs: A Case Study Based on the Reconstruction of Ancient Chinese Character Imagery BT - Proceedings of the 2025 International Conference on Mental Growth and Human Resilience (MGHR 2025) PB - Atlantis Press SP - 707 EP - 718 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-509-6_78 DO - 10.2991/978-2-38476-509-6_78 ID - Li2025 ER -