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Found 8 papers, 2 papers with code
Social-Group-Agnostic Word Embedding Debiasing via the Stereotype Content Model
Existing word embedding debiasing methods require social-group-specific word pairs (e. g., "man"-"woman") for each social attribute (e. g., gender), which cannot be used to mitigate bias for other social groups, making these methods impractical or costly to incorporate understudied social groups in debiasing.
The Moral Foundations Reddit Corpus
Moral framing and sentiment can affect a variety of online and offline behaviors, including donation, pro-environmental action, political engagement, and even participation in violent protests.
Hate Speech Classifiers Learn Human-Like Social Stereotypes
Social stereotypes negatively impact individuals' judgements about different groups and may have a critical role in how people understand language directed toward minority social groups.
Improving Counterfactual Generation for Fair Hate Speech Detection
By applying logit pairing to equalize outcomes on the restricted set of counterfactuals for each instance, we improve fairness metrics while preserving model performance on hate speech detection.
Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals
Counterfactual token fairness for a mentioned social group evaluates the model's predictions as to whether they are the same for (a) the actual sentence and (b) a counterfactual instance, which is generated by changing the mentioned social group in the sentence.
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
Fine-tuned language models have been shown to exhibit biases against protected groups in a host of modeling tasks such as text classification and coreference resolution.
Contextualizing Hate Speech Classifiers with Post-hoc Explanation
Hate speech classifiers trained on imbalanced datasets struggle to determine if group identifiers like "gay" or "black" are used in offensive or prejudiced ways.
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes
Official reports of hate crimes in the US are under-reported relative to the actual number of such incidents.
