| 2026 | HCI | User Tone and Its Impact on Safety Behavior in Retrieval-Augmented LLMs. | Yash Jain, Patrick Meyer, Kathleen C. Fraser |
| 2025 | ACL | When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text. | Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko |
| 2025 | NAACL | Tackling Social Bias against the Poor: a Dataset and a Taxonomy on Aporophobia. | Georgina Curto, Svetlana Kiritchenko, Muhammad Hammad Fahim Siddiqui, Isar Nejadgholi, Kathleen C. Fraser |
| 2025 | NAACL | Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals. | Phillip Howard, Kathleen C. Fraser, Anahita Bhiwandiwalla, Svetlana Kiritchenko |
| 2025 | WACV | Addressing Age Bias in the Application of Appearance-Based Gaze-Tracking for Older Adults. | Manuela Kunz, Kathleen C. Fraser, R. Bruce Wallace, Frank Knoefel, Rafik Goubran, Sina Shafiyan, Neil Thomas |
| 2024 | COLING | Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes. | Isar Nejadgholi, Kathleen C. Fraser, Anna Kerkhof, Svetlana Kiritchenko |
| 2024 | EACL | Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images. | Kathleen C. Fraser, Svetlana Kiritchenko |
| 2024 | EMNLP | Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse. | Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko |
| 2022 | ACL | Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors. | Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko |
| 2022 | LREC | Extracting Age-Related Stereotypes from Social Media Texts. | Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi |
| 2022 | NAACL | Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection. | Esma Balkir, Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko |
| 2021 | ACL | Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model. | Kathleen C. Fraser, Isar Nejadgholi, Svetlana Kiritchenko |
| 2019 | NAACL | Multilingual prediction of Alzheimer's disease through domain adaptation and concept-based language modelling. | Kathleen C. Fraser, Nicklas Linz, Bai Li, Kristina Lundholm Fors, Frank Rudzicz, Alexandra Knig, Jan Alexandersson, Philippe H. Robert, Dimitrios Kokkinakis |
| 2018 | LREC | A Swedish Cookie-Theft Corpus. | Dimitrios Kokkinakis, Kristina Lundholm Fors, Kathleen C. Fraser, Arto Nordlund |
| 2017 | EMNLP | An analysis of eye-movements during reading for the detection of mild cognitive impairment. | Kathleen C. Fraser, Kristina Lundholm Fors, Dimitrios Kokkinakis, Arto Nordlund |
| 2016 | Interspeech | Speech Recognition in Alzheimer's Disease and in its Assessment. | Luke Zhou, Kathleen C. Fraser, Frank Rudzicz |
| 2016 | NAACL | Detecting late-life depression in Alzheimer's disease through analysis of speech and language. | Kathleen C. Fraser, Frank Rudzicz, Graeme Hirst |
| 2015 | NAACL | Sentence segmentation of aphasic speech. | Kathleen C. Fraser, Naama Ben-David, Graeme Hirst, Naida L. Graham, Elizabeth Rochon |
| 2013 | Interspeech | Using text and acoustic features to diagnose progressive aphasia and its subtypes. | Kathleen C. Fraser, Frank Rudzicz, Elizabeth Rochon |