arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2011.00092cs.CL
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叙事修辞中的性别偏见分析

Analyzing Gender Bias within Narrative Tropes

University of Massachusetts Amherst(马萨诸塞大学阿默斯特分校)

Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, Brendan O'Connor, Mohit Iyyer

摘要:

大众媒体通过使用比喻来反映和强化社会偏见,比喻是一种叙事元素,如原型人物和情节弧线,在媒体中经常出现。在本文中,我们专门研究了大量比喻中的性别偏见。为了使我们的研究,我们爬tvtropes.org,这是一个在线用户创建的存储库,包含30K tropes与190万个它们在电影,电视和文学中出现的例子相关联。我们在TVTROPES数据集中自动对每个比喻的“性别”进行评分,这使得我们能够分析(1)比喻中高度性别化的主题,(2)性别偏见和流行接受之间的关系,以及(3)作品创作者的性别如何与他们使用的比喻类型相关。

英文摘要:

Popular media reflects and reinforces societal biases through the use of tropes, which are narrative elements, such as archetypal characters and plot arcs, that occur frequently across media. In this paper, we specifically investigate gender bias within a large collection of tropes. To enable our study, we crawl tvtropes.org, an online user-created repository that contains 30K tropes associated with 1.9M examples of their occurrences across film, television, and literature. We automatically score the "genderedness" of each trope in our TVTROPES dataset, which enables an analysis of (1) highly-gendered topics within tropes, (2) the relationship between gender bias and popular reception, and (3) how the gender of a work's creator correlates with the types of tropes that they use.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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