Before revision:   By providing a scale-based codebook for sexism and insights into what makes a statement sexist , we hope to contribute to the development of better and broader models for sexism detection, including reflections on theory-driven approaches to data collection.
After revision:  Yet, including diverse data and adversarial examples at training time results in models that generalize better and that are more robust to artifacts of data collection. By providing a scale-based codebook for sexism and insights into what makes a statement sexist , we hope to contribute to the development of better and broader models for sexism detection, including reflections on theory-driven approaches to data collection.