Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions
Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions
复制标题
DOI：
10.18653/v1/w17-1801
复制
发表时间：
2017-04
期刊：
影响因子：
--
通讯作者：
Alex Calderwood;Elizabeth A. Pruett;R. Ptucha;C. Homan;Cecilia Ovesdotter Alm
中科院分区：
文献类型：
--
作者：
Alex Calderwood;Elizabeth A. Pruett;R. Ptucha;C. Homan;Cecilia Ovesdotter Alm
人际暴力（IPV）是一个突出的社会学问题，影响到所有人口背景的人。通过分析读者如何解释，感知和对社交媒体帖子中叙述的经历做出反应，我们探索了一个未充分研究的关于虐待的话语来源。我们要求读者注释Reddit上关于有与没有IPV的关系的帖子，以了解利益相关者的角色和情绪，同时测量他们的皮肤电反应（GSR），脉搏和面部表情。我们将注释映射到共指消解输出，以获得文本中利益相关者的标记共指链，并应用自动语义角色标记来分析IPV话语。研究结果提供了洞察读者如何处理角色和情感的叙述。例如，施虐者往往与暴力行为和某些情感状态有关。我们训练分类器来预测共指链的利益相关者类别。我们还发现，受试者的GSR显着改变IPV文本，这表明，共同收集的测量为基础的数据注释器可以用来支持文本注释。
Interpersonal violence (IPV) is a prominent sociological problem that affects people of all demographic backgrounds. By analyzing how readers interpret, perceive, and react to experiences narrated in social media posts, we explore an understudied source for discourse about abuse. We asked readers to annotate Reddit posts about relationships with vs. without IPV for stakeholder roles and emotion, while measuring their galvanic skin response (GSR), pulse, and facial expression. We map annotations to coreference resolution output to obtain a labeled coreference chain for stakeholders in texts, and apply automated semantic role labeling for analyzing IPV discourse. Findings provide insights into how readers process roles and emotion in narratives. For example, abusers tend to be linked with violent actions and certain affect states. We train classifiers to predict stakeholder categories of coreference chains. We also find that subjects’ GSR noticeably changed for IPV texts, suggesting that co-collected measurement-based data about annotators can be used to support text annotation.