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Found 12 papers, 6 papers with code
Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection
We present the results and main findings of the shared task at WOAH 5 on hateful memes detection.
Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020
In 2020 The Workshop on Online Abuse and Harms (WOAH) held a satellite panel at RightsCons 2020, an international human rights conference.
``Hold on honey, men at work'': A semi-supervised approach to detecting sexism in sitcoms
In an effort to analyze the content of television shows belong-ing to this genre, we present a dataset of dialogue turns from popular sitcoms annotated for the presence of sexist remarks.
A Survey of Race, Racism, and Anti-Racism in NLP
Despite inextricable ties between race and language, little work has considered race in NLP research and development.
Dynabench: Rethinking Benchmarking in NLP
We introduce Dynabench, an open-source platform for dynamic dataset creation and model benchmarking.
Disembodied Machine Learning: On the Illusion of Objectivity in NLP
In this paper, we contextualise this discourse of bias in the ML community against the subjective choices in the development process.
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
We provide a new dataset of ~40, 000 entries, generated and labelled by trained annotators over four rounds of dynamic data creation.
HateCheck: Functional Tests for Hate Speech Detection Models
Detecting online hate is a difficult task that even state-of-the-art models struggle with.
Detecting East Asian Prejudice on Social Media
The outbreak of COVID-19 has transformed societies across the world as governments tackle the health, economic and social costs of the pandemic.
Understanding Abuse: A Typology of Abusive Language Detection Subtasks
As the body of research on abusive language detection and analysis grows, there is a need for critical consideration of the relationships between different subtasks that have been grouped under this label.
