Microaggressions and Traumatic Stress: Theory, Research, and Clinical Treatment

By K. Nadal. 2018

101 citations recorded by the source corpus.

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ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection (2022, background): “…2019 marginalized groups is often psychologically damaging to members of those groups (Sue et al., 2007; Nadal et al., 2014; Kanter et al., 2017; Nadal, 2018; Saleem and Anderson, 2013) and can reinforce stereotypical or hateful perceptions of them (Behm-Morawitz and Mastro, 2008; Soral et al.,…”
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection (2021, background): “Perceiving the HARMOFHATESPEECH: the belief that hate speech or offensive language can be harmful for the targets of that speech (Soral et al., 2018; Nadal, 2018).”
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜 (2021, background): “Either way, harms ensue: readers subject to the stereotypes may experience the psychological harms of microaggressions [88, 141] and stereotype threat [97, 126].”
Gender bias and stereotypes in Large Language Models (2023, background): “Others may experience the bias as microaggressions and suffer the psychological harms associated with microaggressions and stereotype threat [65, 72, 86, 98].”