论文标题
受害者还是肇事者？分析电影脚本中的暴力人物刻画
Victim or Perpetrator? Analysis of Violent Characters Portrayals from Movie Scripts
论文作者
论文摘要
媒体中的暴力内容会影响观众对社会的看法。例如，经常描绘某些人口统计学作为受害者或暴力肇事者，可以塑造刻板印象的态度。我们建议计算方法可以帮助对电影中的暴力行为进行大规模分析。我们开发的方法仅根据脚本中使用的语言来表征暴力内容的各个方面。因此，我们的方法甚至在制作内容创作之前的早期阶段都适用于电影。这与以前依赖音频或视频帖子制作的作品互补。在这项工作中，我们根据为该角色所扮演的演员的人口统计来确定角色角色（即受害者，肇事者和叙述者）的刻板印象。我们的结果突出了描述频率以及受害者与肇事者之间相互作用的人口统计的两个显着差异：（1）女性角色更频繁地作为受害者出现，（2）如果受害者是黑人或拉丁裔，肇事者更可能是白人。迄今为止，我们是第一个证明电影脚本中使用的语言是暴力内容的有力指标，并且在大型数据集中有某些人口统计学作为受害者和肇事者的系统描绘。这提供了新颖的计算工具，以帮助提高讲故事的表现形式
Violent content in the media can influence viewers' perception of the society. For example, frequent depictions of certain demographics as victims or perpetrators of violence can shape stereotyped attitudes. We propose that computational methods can aid in the large-scale analysis of violence in movies. The method we develop characterizes aspects of violent content solely from the language used in the scripts. Thus, our method is applicable to a movie in the earlier stages of content creation even before it is produced. This is complementary to previous works which rely on audio or video post production. In this work, we identify stereotypes in character roles (i.e., victim, perpetrator and narrator) based on the demographics of the actor casted for that role. Our results highlight two significant differences in the frequency of portrayals as well as the demographics of the interaction between victims and perpetrators : (1) female characters appear more often as victims, and (2) perpetrators are more likely to be White if the victim is Black or Latino. To date, we are the first to show that language used in movie scripts is a strong indicator of violent content, and that there are systematic portrayals of certain demographics as victims and perpetrators in a large dataset. This offers novel computational tools to assist in creating awareness of representations in storytelling
