论文标题
商业电影海报的种族代表性分析
Ethnic Representation Analysis of Commercial Movie Posters
论文作者
论文摘要
在过去的几十年中，全球对各种代表的重要性的认识一直在提高。缺乏对少数群体的多样性和歧视并没有跳过电影界。在这里，我们通过商业海报（数十年来该行业的主要广告媒介）来研究电影业的种族偏见。电影海报旨在建立观众的初始印象。我们通过使用最先进的深度学习模型分析了近125,000张海报，开发了一种新颖的方法来评估电影业的种族偏见。我们的分析表明，虽然种族偏见仍然存在，但偏见的趋势趋势，如几个参数所示。特别是在讲英语的电影中，过去几年来海报上人物的种族分布正在达到接近美国人口实际种族组成的数字。一种自动监测电影界种族多样性的方法，可能与财务价值融合在一起，可能对生产商和政策制定者具有重要用途。
In the last decades, global awareness towards the importance of diverse representation has been increasing. Lack of diversity and discrimination toward minorities did not skip the film industry. Here, we examine ethnic bias in the film industry through commercial posters, the industry's primary advertisement medium for decades. Movie posters are designed to establish the viewer's initial impression. We developed a novel approach for evaluating ethnic bias in the film industry by analyzing nearly 125,000 posters using state-of-the-art deep learning models. Our analysis shows that while ethnic biases still exist, there is a trend of reduction of bias, as seen by several parameters. Particularly in English-speaking movies, the ethnic distribution of characters on posters from the last couple of years is reaching numbers that are approaching the actual ethnic composition of US population. An automatic approach to monitor ethnic diversity in the film industry, potentially integrated with financial value, may be of significant use for producers and policymakers.
