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- W4387492797 abstract "Artificial simulations such as agent-based models provide an environment in which to explore the dynamics of human behavior, and can contribute to the work of genocide researchers seeking to understand and prevent this atrocity. Validation is essential to the development of such models, as it verifies that the simulation can reproduce expected results. This work explores methods for quantifying emotion in historic presidential and elite speech data for later use in model validation. Here, data were collected for cases in which genocide was expected and either did or did not occur. After digitization of a subset of the speech archive, early emotion analysis using a modern lexicon on translated text shows variations in emotions that correspond as expected to events along the case timeline, thus providing preliminary measures for historic case comparison in general social science research and appropriate artificial simulations. Future improvements in analytical technique and digitization processes will allow for continued work and contributions to the domain of genocide studies. A repository of digitized files, along with the full set of original texts, are also made available." @default.
- W4387492797 created "2023-10-11" @default.
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- W4387492797 date "2023-01-01" @default.
- W4387492797 modified "2023-10-12" @default.
- W4387492797 title "Understanding Genocide Through Emotion Detection in Historic Documents" @default.
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- W4387492797 doi "https://doi.org/10.1007/978-3-031-37553-8_11" @default.
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