5 papers
Food Noise & False Safety: A Systematic Evaluation of How LLMs Fail to Adapt to Eating Disorder Queries with Clinician Feedback
Giulia Pucci, Emily Hemendinger, Ruizhe Li +3
Recent evidence shows that people with eating disorders (EDs) are increasingly seeking guidance, advice, and emotional support from Large Language Model (LLM)-based chat systems. A…
Erasing 'Ugly' from the Internet: Propagation of the Beauty Myth in Text-Image Models
Tanvi Dinkar, Aiqi Jiang, Gavin Abercrombie +1
Social media has exacerbated the promotion of Western beauty norms, leading to negative self-image, particularly in women and girls, and causing harm such as body dysmorphia. Incre…
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech
Tanvi Dinkar, Aiqi Jiang, Simona Frenda +4
Counterspeech, i.e. the practice of responding to online hate speech, has gained traction in NLP as a promising intervention. While early work emphasised collaboration with non-gov…
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms
Gavin Abercrombie, Djalel Benbouzid, Paolo Giudici +13
This paper introduces a collaborative, human-centred taxonomy of AI, algorithmic and automation harms. We argue that existing taxonomies, while valuable, can be narrow, unclear, ty…
Re-examining Sexism and Misogyny Classification with Annotator Attitudes
Aiqi Jiang, Nikolas Vitsakis, Tanvi Dinkar +2
Gender-Based Violence (GBV) is an increasing problem online, but existing datasets fail to capture the plurality of possible annotator perspectives or ensure the representation of…