Approche computationnelle à la représentativité de genre dans les films grand public
| Autor: | Antoine Mazières, Camille Roth, Telmo Menezes |
|---|---|
| Přispěvatelé: | Centre Marc Bloch (CMB), Ministère de l'Europe et des Affaires étrangères (MEAE)-Bundesministerium für Bildung und Forschung-Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)-Centre National de la Recherche Scientifique (CNRS), Centre d'Analyse et de Mathématique sociales (CAMS), École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
content analysis Social Sciences Context (language use) 02 engineering and technology Representativeness heuristic Statistics - Applications 050105 experimental psychology film theory [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] gender studies Computer Science - Computers and Society 5. Gender equality image analysis 020204 information systems Computers and Society (cs.CY) AZ20-999 0202 electrical engineering electronic engineering information engineering Applications (stat.AP) 0501 psychology and cognitive sciences Empirical evidence Set (psychology) General Psychology Mass media [SHS.SOCIO]Humanities and Social Sciences/Sociology [SHS.STAT]Humanities and Social Sciences/Methods and statistics business.industry General Arts and Humanities 05 social sciences General Social Sciences Contrast (statistics) [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] General Business Management and Accounting Film genre Content analysis History of scholarship and learning. The humanities business Psychology [SHS.GENRE]Humanities and Social Sciences/Gender studies General Economics Econometrics and Finance Cognitive psychology face recognition |
| Zdroj: | Humanities and Social Sciences Communications Humanities and Social Sciences Communications, Nature, 2021, 8, pp.137. ⟨10.1057/s41599-021-00815-9⟩ Humanities and Social Sciences Communications, Nature, 2021, 8 (137), ⟨10.1057/s41599-021-00815-9⟩ Humanities & Social Sciences Communications, Vol 8, Iss 1, Pp 1-9 (2021) |
| ISSN: | 2662-9992 |
| DOI: | 10.1057/s41599-021-00815-9⟩ |
| Popis: | Gender representation in mass media has long been mainly studied by qualitatively analyzing content. This article illustrates how automated computational methods may be used in this context to scale up such empirical observations and increase their resolution and significance. We specifically apply a face and gender detection algorithm on a broad set of popular movies spanning more than three decades to carry out a large-scale appraisal of the on-screen presence of women and men. Beyond the confirmation of a strong under-representation of women, we exhibit a clear temporal trend towards a fairer representativeness. We further contrast our findings with respect to movie genre, budget, and various audience-related features such as movie gross and user ratings. We lastly propose a fine description of significant asymmetries in the mise-en-sc\`ene and mise-en-cadre of characters in relation to their gender and the spatial composition of a given frame. Comment: 13 pages, 7 figures, 1 table |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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