From trivial to professional
Changes in Chinese media images of female scientists
Datos Bibliográficos
| ID | 7154308 |
|---|---|
| Autores | Yang Li (0000-0002-2835-6661, University of Shanghai for Science and Technology), Zheng Yang (0000-0003-4275-0590, Soochow University, autor de correspondencia), Chen Luo (0000-0002-9736-0533, Wuhan University) |
| Año | 2025 |
| Volumen | 25 |
| Número | 5 |
| Páginas | 1080-1098 |
| Fecha de publicación | 2025-07-04 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Feminist Media Studies (JOURNAL) |
| Identificadores de la revista | ISSN: 1468-0777 • E-ISSN: 1471-5902 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/14680777.2024.2338415 |
| OpenAlex | W4393947460 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 68 |
Media image has an important impact on professional females’ social credibility, self-cognition, working attitude and continuing development. This study explores the media image of female scientists as presented or shaped by the Chinese mass media in the past 15 years using content analysis and word frequency analysis of 124 media reports about young female Chinese scientist award winners. It analyses the media’s approach to presenting the image of female scientists, their gender and their social role. The results demonstrate that with the continuous opening up and integration of social culture, the Chinese media has paid less attention to the appearance and personalities of female scientists, as well as various gender stereotypes, including conflicts between family and professional roles. China’s mass media has consistently been concerned with female scientists’ professional competitiveness, while other aspects have been less commonly reported. Generally, the image of Chinese female scientists in the media has gone through a development process from trivial and non-professional attributes to professional competencies
Animal and Plant Science Education · Climate Change Communication and Perception · Computer Science · Psychology · Science Education and Perceptions · Artificial Intelligence
Social Constructionism
Observing Interaction
Big Social Data Analytics in Journalism and Mass Communication
Women in Academic Science
Content Analysis in an Era of Big Data
Gender equality in science, medicine, and global health
The changing career trajectories of new parents in STEM
Gender, Race, and Media Representation
Gender as a Social Structure
After neoliberalism
A portrait of a woman as a scientist
The image of the scientist and its functions
Exploring public perceptions of the Covid-19 vaccine online from a cultural perspective
Taking rivalries home
Sexuality, gender, media. Identity articulations in the contemporary media landscape
‘Human’ or ‘objective’ faces of science? Gender stereotypes and the representation of scientists in the media
Bimbo or boffin? Women in science
New Media Audiences’ Perceptions of Male and Female Scientists in Two Sci-Fi Movies
Work‐family conflict of women entrepreneurs in Singapore
No Gender Bias in Audience Perceptions of Male and Female Experts in the News
Applying LDA Topic Modeling in Communication Research
Media Portrayal of Women and Social Change
Social media is not real
Feminist activism via social media in China
Individual and collective empowerment
Online Representations of “Genome Editing” Uncover Opportunities for Encouraging Engagement
A Lab of Her Own
Women Scientist Role Models on Screen
Gendering the digitalized metal industry
Female athletes' self-representation on social media
Stereotypes About Gender and Science
Gender Stereotypes Depicted by Western and Korean Advertising Models in Korean Adolescent Girls’ Magazines
Work and family conflict in academic science
Betraying Big Brother
The International Encyclopedia of Media Studies
Women Scientists as Decor
Cultural Representations of Gender and Science
Gender Stereotypes Make Women Invisible
Why are some STEM fields more gender balanced than others
Revisiting the Gender Revolution
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2025 - 2025 (1) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |