Successful Minority Representations on TV Count

A Quantitative Content Analysis Approach

Dados Bibliográficos

ID3606352
AutoresB G Żerebecki (0000-0001-5735-9506, Erasmus University Rotterdam, autor correspondente), Suzanna J Opree (0000-0001-7509-8311, Erasmus University Rotterdam), Joep Hofhuis (0000-0001-7531-8644, Erasmus University Rotterdam), Susanne Janssen (0000-0002-8984-3498, Erasmus University Rotterdam)
Ano2024
Volume71
Fascículo7
Páginas1703-1726
Data de publicação2024-06-06
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoJournal of Homosexuality (JOURNAL)
Identificadores do periódicoISSN: 0091-8369 • E-ISSN: 1540-3602
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00918369.2023.2191287
PMID36976800
OpenAlexW4361020191
IdiomaEN
Citações recebidas7
Referências citadas34

Numerous studies provide critical analyses of TV minority representations but only few examine successful portrayals. Moreover, there is no consensus on what makes a given depiction successful and how to measure it. Bringing insights from representation studies and media psychology, we propose that successful representations showcase minorities in a way which may foster audience engagement with characters and improve their diversity attitudes. In the current project, we developed a quantitative content analysis codebook with the following representation strategies: portrayal of minority experiences, recognizable representation, attractive representation, psychological depth, stereotypical representation, and friendly interactions. We demonstrate our approach by analyzing the portrayal of non-heterosexual and Black characters in Sex Education. We coded all the scenes with Eric, Adam, and Jackson from the first season of the TV show. Results indicate that these characters are predominantly shown as recognizable to viewers and in friendly interactions with other people. Moreover, they are depicted with attractive personality traits, and indicators of psychological depth. They also undergo various minority experiences. Some stereotypes about gay men are shown but anti-Black stereotypes are rare. In the results' discussion, we suggest different ways of using our codebook in future studies

Codebook · Content (measure theory · Content analysis · Depiction · Diversity (politics · Linguistics · Representation (politics · Sexual minority · Sexual orientation · Social science · Sociology · Artificial Intelligence · Computer Science · Media Influence and Health · Media, Gender, and Advertising · Psychology · Social Psychology · Sports, Gender, and Society