论文标题
对话和人际关系的十个社会层面
Ten Social Dimensions of Conversations and Relationships
论文作者
论文摘要
数十年的社会科学研究确定了十个基本维度，这些维度提供了描述人际关系本质的概念构建基础。但是，尚不清楚这些概念在何种程度上以日常语言表达，以及它们在塑造可观察到的社交互动动态方面的作用。通过众包注释对话文本后，我们训练了NLP工具，以检测到对话中这些类型的交互的存在，并将其应用于由地理参考的Reddit用户编写的1600M消息，来自Anron Corpus的290K电子邮件以及来自电影脚本的300K对话线。我们表明，社会维度可以纯粹是从AUC的对话中预测的，最高为0.98，并且预测的维度的结合表明，人们所娱乐的关系类型（冲突与支持）和现实世界社区的类型（富裕与被剥夺）的类型。
Decades of social science research identified ten fundamental dimensions that provide the conceptual building blocks to describe the nature of human relationships. Yet, it is not clear to what extent these concepts are expressed in everyday language and what role they have in shaping observable dynamics of social interactions. After annotating conversational text through crowdsourcing, we trained NLP tools to detect the presence of these types of interaction from conversations, and applied them to 160M messages written by geo-referenced Reddit users, 290k emails from the Enron corpus and 300k lines of dialogue from movie scripts. We show that social dimensions can be predicted purely from conversations with an AUC up to 0.98, and that the combination of the predicted dimensions suggests both the types of relationships people entertain (conflict vs. support) and the types of real-world communities (wealthy vs. deprived) they shape.
