This paper introduces the Grievance Dictionary, a psycholinguistic dictionary that can be used to automatically understand language use in the context of grievance-fueled violence threat assessment. We describe the development of the dictionary, which was informed by suggestions from experienced threat assessment practitioners. These suggestions and subsequent human and computational word list generation resulted in a dictionary of 20,502 words annotated by 2318 participants. The dictionary was validated by applying it to texts written by violent and non-violent individuals, showing strong evidence for a difference between populations in several dictionary categories. Further classification tasks showed promising performance, but future improvements are still needed. Finally, we provide instructions and suggestions for the use of the Grievance Dictionary by security professionals and (violence) researchers.

本文介绍了申诉词典，这是一种心理语言学词典，可用于在申诉引发的暴力威胁评估的背景下自动理解语言使用。我们描述了字典的发展，这是根据经验丰富的威胁评估从业者的建议而制定的。这些建议以及随后的人工和计算单词列表生成产生了由 2318 名参与者注释的 20,502 个单词的字典。该词典通过将其应用于暴力和非暴力个人撰写的文本进行了验证，显示了几个词典类别中人群之间存在差异的有力证据。进一步的分类任务显示出有希望的性能，但仍需要未来的改进。最后，