{"ID":2885905,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.04638","arxiv_id":"2508.04638","title":"Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech","abstract":"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-governmental organisation stakeholders, recent research trends have shifted toward automated pipelines that reuse a small set of legacy datasets, often without input from affected communities. This paper presents a systematic review of 74 NLP studies on counterspeech, analysing the extent to which stakeholder participation influences dataset creation, model development, and evaluation. To complement this analysis, we conducted a participatory case study with five NGOs specialising in online Gender-Based Violence (oGBV), identifying stakeholder-informed practices for counterspeech generation. Our findings reveal a growing disconnect between current NLP research and the needs of communities most impacted by toxic online content. We conclude with concrete recommendations for re-centring stakeholder expertise in counterspeech research.","short_abstract":"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-governmental organisation stakeholders, recent research trends have shifted toward automated pipelines that reuse a small set of legacy dataset...","url_abs":"https://arxiv.org/abs/2508.04638","url_pdf":"https://arxiv.org/pdf/2508.04638v1","authors":"[\"Tanvi Dinkar\",\"Aiqi Jiang\",\"Simona Frenda\",\"Poppy Gerrard-Abbott\",\"Nancie Gunson\",\"Gavin Abercrombie\",\"Ioannis Konstas\"]","published":"2025-08-06T17:04:58Z","proceeding":"cs.CL","tasks":"[\"cs.CL\"]","methods":"[\"Generative Adversarial Network\"]","has_code":false}