The Grievance Dictionary: Understanding Threatening Language Use
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Abstract (arXiv)
This paper introduces the Grievance Dictionary, a psycholinguistic dictionary which can be used to automatically understand language use in the context of grievance-fuelled violence threat assessment. We describe the development 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 2,318 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.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Sep 2020.
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Citing papers per year: 2022: 2; 2023: 0; 2024: 1; 2025: 2; 2026: 2.
7 papers.
- 2022Dictionary-Assisted Supervised Contrastive Learningcited by 1
- 2024Misinformation is not about Bad Facts: An Analysis of the Production and Consumption of Fringe Contentcited by 1
- 2025Translating the Grievance Dictionary: a psychometric evaluation of Dutch, German, and Italian versionscited by 1
- 2022Themes of Revenge: Automatic Identification of Vengeful Content in Textual Datacited by 0
- 2025Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalizationcited by 0
- 2026Examining the Role of YouTube Production and Consumption Dynamics on the Formation of Extreme Ideologiescited by 0
- 2026From a Word-Level Dictionary to Sentence-Level Semantics: Multilingual Grievance Labelling with Contextual Modelscited by 0
- 2026From a Word-Level Dictionary to Sentence-Level Semantics: Multilingual Grievance Labelling with Contextual Models23 Jul 2026
- 2026Examining the Role of YouTube Production and Consumption Dynamics on the Formation of Extreme Ideologies9 Mar 2026
- 2025Translating the Grievance Dictionary: a psychometric evaluation of Dutch, German, and Italian versions12 May 2025
- 2025Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization8 Jan 2025
- 2024Misinformation is not about Bad Facts: An Analysis of the Production and Consumption of Fringe Content13 Mar 2024
- 2022Dictionary-Assisted Supervised Contrastive Learning27 Oct 2022
- 2022Themes of Revenge: Automatic Identification of Vengeful Content in Textual Data3 May 2022