论文标题
流行电影中性别代表性的计算评估
Computational appraisal of gender representativeness in popular movies
论文作者
论文摘要
长期以来，主要通过定性分析内容来研究大众媒体中的性别代表。本文说明了如何在此上下文中使用自动计算方法来扩展这种经验观察并提高其解决方案和意义。我们在跨越三十多年的广泛流行电影中专门应用了面部和性别探测算法，以对男女的屏幕上的存在进行大规模评估。除了确认妇女的强烈代表性不足之外，我们还表现出明显的时间趋势，以更公平的代表性。我们进一步就电影类型，预算以及与观众相关的各种功能（例如电影的总评级和用户评分）进行了对比。最后，我们提出了有关其性别以及给定框架的空间组成的字符和字符中的明显不对称的精细描述。
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-scène and mise-en-cadre of characters in relation to their gender and the spatial composition of a given frame.
