Hovy, Dirk

The social impact of natural language processing

Hovy, D., & Spruit, S. L. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 329

Five sources of bias in natural language processing

Hovy, D., & Prabhumoye, S. (2021) · Language and Linguistics Compass

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 298

Predictive biases in natural language processing models: A conceptual framework and overview

Shah, D. S., Schwartz, H. A., & Hovy, D. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 241

Demographic Factors Improve Classification Performance

Hovy, D. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Authorship Attribution and ProfilingTopic Modeling

Cited by 148

HONEST: Measuring Hurtful Sentence Completion in Language Models

Nozza, D., Bianchi, F., & Hovy, D. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 95

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

Röttger, P., Hofmann, V., Pyatkin, V., Hinck, M., Kirk, H., Schuetze, H., & Hovy, D. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 89

Linguistically debatable or just plain wrong?

Plank, B., Hovy, D., & Søgaard, A. (2014) · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Natural Language Processing TechniquesLinguistic Studies and Language Acquisition

Cited by 86

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Röttger, P., Kirk, H., Vidgen, B., Attanasio, G., Bianchi, F., & Hovy, D. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 77

Entropy-based attention regularization frees unintended bias mitigation from lists

Attanasio, G., Nozza, D., Hovy, D., & Baralis, E. (2022) · Findings of the Association for Computational Linguistics: ACL 2022

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 56

Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling

Dinan, E., Abercrombie, G., Bergman, A. S., Spruit, S., Hovy, D., Boureau, Y.-L., & Rieser, V. (2021) · arXiv

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 44

Women’s Syntactic Resilience and Men’s Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing

Garimella, A., Banea, C., Hovy, D., & Mihalcea, R. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Natural Language Processing TechniquesAuthorship Attribution and Profiling

Cited by 41

What's in a p-value in NLP?

Søgaard, A., Johannsen, A., Plank, B., Hovy, D., & Martínez Alonso, H. (2014) · Proceedings of the Eighteenth Conference on Computational Natural Language Learning

Natural Language Processing TechniquesTopic Modeling

Cited by 39

SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems

Dinan, E., Abercrombie, G., Bergman, A., Spruit, S., Hovy, D., Boureau, Y.-L., & Rieser, V. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsEthics and Social Impacts of AI

Cited by 32

Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages

Röttger, P., Nozza, D., Bianchi, F., & Hovy, D. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 18

The AI Gap: How Socioeconomic Status Affects Language Technology Interactions

Bassignana, E., Curry, A. C., & Hovy, D. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 15

When POS data sets don’t add up: Combatting sample bias

Hovy, D., Plank, B., & Søgaard, A. (2014) · Proceedings of the Language Resources and Evaluation Conference

Natural Language Processing TechniquesSentiment Analysis and Opinion Mining

Cited by 14

The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics

Orlikowski, M., Röttger, P., Cimiano, P., & Hovy, D. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 9

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

Röttger, P., Hofmann, V., Pyatkin, V., Hinck, M., Kirk, H. R., Schütze, H., & Hovy, D. (2024) · arXiv

Ethics and Social Impacts of AISentiment Analysis and Opinion Mining

Cited by 7

What Can Natural Language Processing Do for Peer Review?

Kuznetsov, I., Afzal, O. M., Dercksen, K., Dycke, N., Goldberg, A., Hope, T., Hovy, D., Kummerfeld, J. K., Lauscher, A., Leyton-Brown, K., et al. (2024) · arXiv

Academic Writing and PublishingPublishing and Scholarly Communication

Cited by 6

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Röttger, P., Kirk, H. R., Vidgen, B., Attanasio, G., Bianchi, F., & Hovy, D. (2023) · arXiv

Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection

Cited by 6

Stop Automating Peer Review Without Rigorous Evaluation

Baumann, J., Pei, J., Koyejo, S., & Hovy, D. (2026) · arXiv

Publishing and Scholarly CommunicationEthics and Social Impacts of AI

Cited by 0