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20172023
most citedMeasuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis

177 citations · 300 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CL2023★ 4 cited

Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models

Eddie L. Ungless, Björn Ross, Anne Lauscher

Cutting-edge image generation has been praised for producing high-quality images, suggesting a ubiquitous future in a variety of applications. However, initial studies have pointed…

cs.CL2023

Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis

Seraphina Goldfarb-Tarrant, Björn Ross, Adam Lopez

Sentiment analysis (SA) systems are widely deployed in many of the world's languages, and there is well-documented evidence of demographic bias in these systems. In languages beyon…

cs.CL2022★ 3 cited

A Robust Bias Mitigation Procedure Based on the Stereotype Content Model

Eddie L. Ungless, Amy Rafferty, Hrichika Nag +1

The Stereotype Content model (SCM) states that we tend to perceive minority groups as cold, incompetent or both. In this paper we adapt existing work to demonstrate that the Stereo…

cs.CL2022

Explainable Abuse Detection as Intent Classification and Slot Filling

Agostina Calabrese, Björn Ross, Mirella Lapata

To proactively offer social media users a safe online experience, there is a need for systems that can detect harmful posts and promptly alert platform moderators. In order to guar…

cs.CL2017★ 177 cited

Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis

Björn Ross, Michael Rist, Guillermo Carbonell +3

Some users of social media are spreading racist, sexist, and otherwise hateful content. For the purpose of training a hate speech detection system, the reliability of the annotatio…