论文标题
Dramatvis Personae：用于识别创意写作社会偏见的视觉文本分析
DramatVis Personae: Visual Text Analytics for Identifying Social Biases in Creative Writing
论文作者
论文摘要
隐含的偏见和刻板印象通常在不同形式的创意写作（例如小说，剧本和儿童读物）中普遍存在。为了了解作家所关心的偏见以及他们如何减轻写作的人，我们对九名作家进行了形成性的访谈。访谈表明，尽管作家的最大兴趣，但跟踪和管理隐性偏见，例如缺乏代理，支持或顺从的角色，或者对代表边缘化群体的角色的有害语言，因为故事变得更长且复杂，这是具有挑战性的。根据访谈，我们开发了Dramatvis Personae（DVP），这是一种视觉分析工具，允许作者可以为角色分配社会身份，并评估故事中角色和不同的跨性别社会身份。为了评估DVP，我们首先与三位作家进行了思考会议，发现DVP易于使用，自然地融入了写作过程中，并有可能帮助作家完成几个关键的偏见识别任务。然后，我们与11位作家进行了一项后续用户研究，发现参与者可以使用DVP与简单的文本编辑器更有效地回答与偏见检测有关的问题。
Implicit biases and stereotypes are often pervasive in different forms of creative writing such as novels, screenplays, and children's books. To understand the kind of biases writers are concerned about and how they mitigate those in their writing, we conducted formative interviews with nine writers. The interviews suggested that despite a writer's best interest, tracking and managing implicit biases such as a lack of agency, supporting or submissive roles, or harmful language for characters representing marginalized groups is challenging as the story becomes longer and complicated. Based on the interviews, we developed DramatVis Personae (DVP), a visual analytics tool that allows writers to assign social identities to characters, and evaluate how characters and different intersectional social identities are represented in the story. To evaluate DVP, we first conducted think-aloud sessions with three writers and found that DVP is easy-to-use, naturally integrates into the writing process, and could potentially help writers in several critical bias identification tasks. We then conducted a follow-up user study with 11 writers and found that participants could answer questions related to bias detection more efficiently using DVP in comparison to a simple text editor.
