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08/02/2023
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
Without proper safeguards, large language models will readily follow mal...
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03/09/2023
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback
Large language models (LLMs) are used to generate content for a wide ran...
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03/07/2023
SemEval-2023 Task 10: Explainable Detection of Online Sexism
Online sexism is a widespread and harmful phenomenon. Automated tools ca...
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12/22/2022
How can we combat online misinformation? A systematic overview of current interventions and their efficacy
The spread of misinformation is a pressing global problem that has elici...
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09/21/2022
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning
Annotating abusive language is expensive, logistically complex and creat...
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06/20/2022
Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models
Hate speech detection models are typically evaluated on held-out test se...
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04/29/2022
Handling and Presenting Harmful Text
Textual data can pose a risk of serious harm. These harms can be categor...
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12/14/2021
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks
Labelled data is the foundation of most natural language processing task...
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09/15/2021
An influencer-based approach to understanding radical right viral tweets
Radical right influencers routinely use social media to spread highly di...
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06/10/2021
Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate
Accurate detection and classification of online hate is a difficult task...
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03/22/2021
Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning
Online hate is a growing concern on many social media platforms and othe...
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12/31/2020
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
We present a first-of-its-kind large synthetic training dataset for onli...
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05/08/2020
Detecting East Asian Prejudice on Social Media
The outbreak of COVID-19 has transformed societies across the world as g...
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04/03/2020
Directions in Abusive Language Training Data: Garbage In, Garbage Out
Data-driven analysis and detection of abusive online content covers many...
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10/13/2019
Trajectories of Islamophobic hate amongst far right actors on Twitter
Far right actors use the Internet for myriad purposes, such as forming c...
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07/02/2019
What, When and Where of petitions submitted to the UK Government during a time of chaos
In times marked by political turbulence and uncertainty, as well as incr...
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12/12/2018