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HateLab is a global hub for data and insight into hate speech and crime. We use data science methods, including ethical forms of AI, to measure and counter the problem of hate both online and offline.
First, we describe the legal framework and recent attempts to expand hate crime protections beyond historically disenfranchised groups. Second, we examine recent trends and patterns of hate crime victimization. Third, we review what is known about those who perpetrate hate crimes and those who experience hate crime victimization.
4 dni temu · In this research, we exclusively used primary sources of hate crimes and messages posted on social networks to build our datasets. The data were collected, stored, and analyzed on the ...
1 cze 2021 · Research has suggested that staffing and resources to bias crime investigative units increase the effectiveness of police work, improve perceptions of trust, and allow prosecutors to charge individuals successfully under hate crime laws (Sheppard et al., 2021).
9 lip 2014 · The next generation of hate crime research must move in this design-based direction. This essay reviews recent examples of experiments and quasi-experiments in criminology, political science, and...
Hate crimes, hate incidents, and hate speech are challenging to define and measure consistently. Research and policy work in this important area have developed in disciplinary silos, leading to varied definitions and measurement methods.
13 wrz 2021 · Exploring the use of non-traditional data sources to examine trends and predict hate crimes. Identifying the characteristics of persons who commit hate crimes. Research to assist police and prosecutors in responding to, investigating, and prosecuting hate crimes.
