Narrative Structure and Emotional Expression in Feng Zikai's Female-Themed Cartoons

Abstract This paper focuses on the cartoons of female characters created by Feng Zikai in the period 1922-1945 and places them in the context of socio-cultural change in China in the twentieth century. Although the focus on the biographical interpretation has been the predominant approach to the existing scholarship, this article deals with a crucial issue, namely the foregrounding of the visual and narrative mechanisms. In addition, it merges three-level iconological model with visual semiotics and feminist narratology, creating a Visual-Gender Analytical Model (VGAM) according to which the micro level (formal analysis spatial stratification, symbolic contrast, figuretext interaction) and macro level (ideological critique gender politics, cultural transformation) are systematically connected. Based on a collection of more than 5,525 cartoons, the research uses a systematic analysis through case studies. By employing spatial stratification, symbolic contrast and figure-text interaction, these cartoons renegotiate gender roles and make the daily life a vibrant space of gender negotiation. The results show VGAM moves iconological and semiotic analysis to non-Western popular visual media, and offers a framework of micro-macro that is related to visual form and ideological production. This model serves to bridge descriptive observation and theoretical explanation, providing a replicable tool for decoding gender narratives.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-17
DOI
https://doi.org/10.5281/zenodo.20725841
Primary Topic
Media, Gender, and Advertising
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Narrative Structure and Emotional Expression in Feng Zikai's Female-Themed Cartoons

Sun Yuming, Julina Binti Ismail, Yingfan Fu, Xiaoling Fan
Zenodo (CERN European Organization for Nuclear Research)
Media, Gender, and Advertising
article

Narrative Structure and Emotional Expression in Feng Zikai's Female-Themed Cartoons

Sun Yuming, Julina Binti Ismail, Yingfan Fu, Xiaoling Fan
article en

Abstract

Abstract This paper focuses on the cartoons of female characters created by Feng Zikai in the period 1922-1945 and places them in the context of socio-cultural change in China in the twentieth century. Although the focus on the biographical interpretation has been the predominant approach to the existing scholarship, this article deals with a crucial issue, namely the foregrounding of the visual and narrative mechanisms. In addition, it merges three-level iconological model with visual semiotics and feminist narratology, creating a Visual-Gender Analytical Model (VGAM) according to which the micro level (formal analysis spatial stratification, symbolic contrast, figuretext interaction) and macro level (ideological critique gender politics, cultural transformation) are systematically connected. Based on a collection of more than 5,525 cartoons, the research uses a systematic analysis through case studies. By employing spatial stratification, symbolic contrast and figure-text interaction, these cartoons renegotiate gender roles and make the daily life a vibrant space of gender negotiation. The results show VGAM moves iconological and semiotic analysis to non-Western popular visual media, and offers a framework of micro-macro that is related to visual form and ideological production. This model serves to bridge descriptive observation and theoretical explanation, providing a replicable tool for decoding gender narratives.

Zenodo (CERN European Organization for Nuclear Research)
Electric Power University (VN), Universiti Sains Malaysia (MY), Northeast Electric Power University (CN), Wuyi University (CN)
Gender equality
Openalex Percentile: Top 5%
Media, Gender, and Advertising
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.