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arXiv 2607.08859cs.CYphysics.soc-ph

酷儿特质的怪异英雄与傻瓜偏见:虚构故事中酷儿形象集体描绘的原型计量分析

The queer Hero versus the Fool bias of the queer trait: An archetypometric analysis of the collective portrayal of queerness in fictional stories

Ashley M. A. Fehr, Calla Glavin Beauregard, Julia Witte Zimmerman, Danny Benett, Timothy R. Tangherlini, Christopher M. Danforth, Peter Sheridan Dodds

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中文总结 AI 辅助

研究虚构故事中酷儿形象描绘,用原型计量学和相关数据集,发现酷儿得分高的角色有积极原型,但集体写作对酷儿特质有偏向傻瓜远离英雄的偏见,揭示了酷儿形象描绘复杂性及盲目训练风险。

中文摘要 AI 辅助

媒体中的可见性对身份发展以及拓宽社会对性别和性取向的看法至关重要。近年来酷儿形象有所增加,但有害的刻板印象仍然存在。我们通过根据量化原型研究虚构故事(电视、电影和文学)中的角色,来关注酷儿形象及其在观众中的认知。我们使用原型计量学和粉丝群体的LGBTQIA+数据集,研究虚构角色样本在从异性恋到酷儿的特质差异上的情况。我们发现、量化并解释了一个看似矛盾的现象。酷儿得分最高的角色呈现出积极的主要原型,通常是英雄而非傻瓜、天使而非恶魔、冒险家而非传统主义者。但对整个异性恋 - 酷儿特质的评估显示,集体写作存在强烈偏向傻瓜(远离英雄)的偏见,另外两个维度没有有意义的倾向。我们的分析提供了酷儿形象描绘复杂性的总体视角,同时也指出了在多作者故事语料库上盲目训练的风险。

英文摘要

Visibility in media is pivotal for identity development and for broadening societal views of gender and sexuality. Queer representation has increased in recent years, yet damaging stereotypes and tropes persist. Here, we focus on queer portrayal and its perception by audiences in fictional stories (television, film, and literature) by studying characters by their quantified archetypes which are operationalizations of common conceptions such as Hero, Diva, and Outcast. We use the archetypometrics and Fandom's LGBTQIA+ datasets to study samples of fictional characters along the trait differential spanning straight to queer. We find, quantify, and explain a seeming paradox. The characters with the highest queer score present positive primary archetypes and are typically Heroes rather than Fools, Angels rather than Demons, and Adventurers rather than Traditionalists. But evaluation across many stories for the straight-queer trait itself reveals a strong collective-writing bias towards Fool (away from Hero) and no meaningful loading for the other two dimensions. Our analysis offers a population-scale view of the complexities of queer portrayal, while also pointing to risks in blindly training on many-authored story corpora.

发表机构

  • University of Vermont(佛蒙特大学)
  • University of California, Berkeley(加州大学伯克利分校)

机构由 AI 辅助整理,请以论文原文为准。

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