Bertie Vidgen | DeepAI

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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...

0 Paul Röttger, et al. ∙

∙ 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...

2 Hannah Rose Kirk, et al. ∙

∙ 03/07/2023

SemEval-2023 Task 10: Explainable Detection of Online Sexism

Online sexism is a widespread and harmful phenomenon. Automated tools ca...

5 Hannah Rose Kirk, et al. ∙

∙ 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...

0 Pica Johansson, et al. ∙

∙ 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...

3 Hannah Rose Kirk, et al. ∙

∙ 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...

6 Paul Röttger, et al. ∙

∙ 04/29/2022

Handling and Presenting Harmful Text

Textual data can pose a risk of serious harm. These harms can be categor...

1 Leon Derczynski, et al. ∙

∙ 12/14/2021

Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks

Labelled data is the foundation of most natural language processing task...

0 Paul Röttger, et al. ∙

∙ 09/15/2021

An influencer-based approach to understanding radical right viral tweets

Radical right influencers routinely use social media to spread highly di...

0 Laila Sprejer, et al. ∙

∙ 06/10/2021

Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate

Accurate detection and classification of online hate is a difficult task...

0 Austin Botelho, et al. ∙

∙ 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...

0 Zo Ahmed, et al. ∙

∙ 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...

0 Bertie Vidgen, et al. ∙

∙ 05/08/2020

Detecting East Asian Prejudice on Social Media

The outbreak of COVID-19 has transformed societies across the world as g...

0 Bertie Vidgen, et al. ∙

∙ 04/03/2020

Directions in Abusive Language Training Data: Garbage In, Garbage Out

Data-driven analysis and detection of abusive online content covers many...

0 Bertie Vidgen, et al. ∙

∙ 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...

0 Bertie Vidgen, et al. ∙

∙ 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...

0 Bertie Vidgen, et al. ∙

∙ 12/12/2018

Detecting weak and strong Islamophobic hate speech on social media

Islamophobic hate speech on social media inflicts considerable harm on b...

0 Bertie Vidgen, et al. ∙

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