8 citations · 8 across the 4 of their papers we have counts for
4 papers
Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media
Dennis Assenmacher, Paloma Piot, Katarina Laken +2
Digital dehumanization, although a critical issue, remains largely overlooked within the field of computational linguistics and Natural Language Processing. The prevailing approach…
Sexism Detection on a Data Diet
Rabiraj Bandyopadhyay, Dennis Assenmacher, Jose M. Alonso Moral +1
There is an increase in the proliferation of online hate commensurate with the rise in the usage of social media. In response, there is also a significant advancement in the creati…
The Unseen Targets of Hate -- A Systematic Review of Hateful Communication Datasets
Zehui Yu, Indira Sen, Dennis Assenmacher +5
Machine learning (ML)-based content moderation tools are essential to keep online spaces free from hateful communication. Yet, ML tools can only be as capable as the quality of the…
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
Indira Sen, Dennis Assenmacher, Mattia Samory +3
NLP models are used in a variety of critical social computing tasks, such as detecting sexist, racist, or otherwise hateful content. Therefore, it is imperative that these models a…