Cover Image

Bridging Fairness and Explainability: Can Input-Based Explanations Promote Fairness in Hate Speech Detection?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yifan, Jobanputra, Mayank, Lee, Ji-Ung, Oh, Soyoung, Valera, Isabel, Demberg, Vera
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

B-cos LM: Efficiently Transforming Pre-trained Language Models for Improved Explainability
by: Wang, Yifan, et al.
Published: (2025)

Towards Fairness Assessment of Dutch Hate Speech Detection
by: Bauer, Julie, et al.
Published: (2025)

Tug-of-war between idioms' figurative and literal interpretations in LLMs
by: Oh, Soyoung, et al.
Published: (2025)

RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework
by: Wang, Yifan, et al.
Published: (2024)

An Investigation Into Explainable Audio Hate Speech Detection
by: An, Jinmyeong, et al.
Published: (2024)

HateXScore: A Metric Suite for Evaluating Reasoning Quality in Hate Speech Explanations
by: Hu, Yujia, et al.
Published: (2026)

An Effective, Robust and Fairness-aware Hate Speech Detection Framework
by: Mou, Guanyi, et al.
Published: (2024)

Hate Speech Detection with Generalizable Target-aware Fairness
by: Chen, Tong, et al.
Published: (2024)

Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization
by: Liu, Dongqi, et al.
Published: (2023)

Can LLMs subtract numbers?
by: Jobanputra, Mayank, et al.
Published: (2025)

Born a Transformer -- Always a Transformer? On the Effect of Pretraining on Architectural Abilities
by: Jobanputra, Mayank, et al.
Published: (2025)

Selective Demonstration Retrieval for Improved Implicit Hate Speech Detection
by: Kim, Yumin, et al.
Published: (2025)

xList-Hate: A Checklist-Based Framework for Interpretable and Generalizable Hate Speech Detection
by: Girón, Adrián, et al.
Published: (2026)

ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer
by: Liu, Dongqi, et al.
Published: (2023)

RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
by: Liu, Dongqi, et al.
Published: (2024)

SciNews: From Scholarly Complexities to Public Narratives -- A Dataset for Scientific News Report Generation
by: Liu, Dongqi, et al.
Published: (2024)

Exploring the Plausibility of Hate and Counter Speech Detectors with Explainable AI
by: Böck, Adrian Jaques, et al.
Published: (2024)

HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection
by: Proskurina, Irina, et al.
Published: (2025)

Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech Detection
by: Piot, Paloma, et al.
Published: (2025)

Understanding Fairness-Accuracy Trade-offs in Machine Learning Models: Does Promoting Fairness Undermine Performance?
by: Liu, Junhua, et al.
Published: (2024)

Compositional Generalisation for Explainable Hate Speech Detection
by: Calabrese, Agostina, et al.
Published: (2025)

Human Speech Perception in Noise: Can Large Language Models Paraphrase to Improve It?
by: Chingacham, Anupama, et al.
Published: (2024)

Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"?
by: Liu, Tong, et al.
Published: (2023)

HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models
by: Nghiem, Huy, et al.
Published: (2024)

Algorithmic Fairness in NLP: Persona-Infused LLMs for Human-Centric Hate Speech Detection
by: Gajewska, Ewelina, et al.
Published: (2025)

LLM-C3MOD: A Human-LLM Collaborative System for Cross-Cultural Hate Speech Moderation
by: Park, Junyeong, et al.
Published: (2025)

Incorporating Human Explanations for Robust Hate Speech Detection
by: Chen, Jennifer L., et al.
Published: (2024)

Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster
by: Calabrese, Agostina, et al.
Published: (2024)

Explainable Speech Emotion Recognition: Weighted Attribute Fairness to Model Demographic Contributions to Social Bias
by: Ogunnubi, Tomisin, et al.
Published: (2026)

Fair Summarization: Bridging Quality and Diversity in Extractive Summaries
by: Nezhad, Sina Bagheri, et al.
Published: (2024)

Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis
by: Lee, Nayeon, et al.
Published: (2023)

Analysis and Detection of Multilingual Hate Speech Using Transformer Based Deep Learning
by: Das, Arijit, et al.
Published: (2024)

SEAHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Southeast Asia
by: Ng, Ri Chi, et al.
Published: (2026)

Deep Knowledge-Infusion For Explainable Depression Detection
by: Dalal, Sumit, et al.
Published: (2024)

Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection
by: Kumarage, Tharindu, et al.
Published: (2024)

Towards Generalizable Generic Harmful Speech Datasets for Implicit Hate Speech Detection
by: Almohaimeed, Saad, et al.
Published: (2025)

Prompting Implicit Discourse Relation Annotation
by: Yung, Frances, et al.
Published: (2024)

Fairness of Automatic Speech Recognition: Looking Through a Philosophical Lens
by: Choi, Anna Seo Gyeong, et al.
Published: (2025)

Conditioning Large Language Models on Legal Systems? Detecting Punishable Hate Speech
by: Ludwig, Florian, et al.
Published: (2025)

Leveraging the Potential of Prompt Engineering for Hate Speech Detection in Low-Resource Languages
by: Prome, Ruhina Tabasshum, et al.
Published: (2025)