| Understanding from machine learning models E Sullivan The British Journal for the Philosophy of Science, 2022 | 145 | 2022 |
| Idealizations and understanding: Much ado about nothing? E Sullivan, K Khalifa Australasian Journal of Philosophy 97 (4), 673-689, 2019 | 39 | 2019 |
| Vulnerability in social epistemic networks E Sullivan, M Sondag, I Rutter, W Meulemans, S Cunningham, ... International Journal of Philosophical Studies 28 (5), 731-753, 2020 | 36 | 2020 |
| Can Real Social Epistemic E Sullivan, M Sondag, I Rutter, S Cunningham, B Speckmann, M Alfano Oxford Studies in Experimental Philosophy Volume 3 3, 29, 2020 | 33 | 2020 |
| Reading news with a purpose: Explaining user profiles for self-actualization E Sullivan, D Bountouridis, J Harambam, S Najafian, F Loecherbach, ... Adjunct Publication of the 27th Conference on User Modeling, Adaptation and …, 2019 | 33 | 2019 |
| Understanding: not know-how E Sullivan Philosophical Studies 175 (1), 221-240, 2018 | 29 | 2018 |
| Same, Same, but Different: Algorithmic Diversification of Viewpoints in News N Tintarev, E Sullivan, D Guldin, S Qiu, D Odjik Adjunct Publication of the 26th Conference on User Modeling, Adaptation and …, 2018 | 28 | 2018 |
| Motivated numeracy and active reasoning in a Western European sample P Connor, E Sullivan, M Alfano, N Tintarev Behavioural Public Policy 8 (1), 24-46, 2024 | 16 | 2024 |
| Negative epistemic exemplars E Sullivan, M Alfano Overcoming epistemic injustice: social and psychological perspectives, 17-31, 2019 | 15 | 2019 |
| Online trust and distrust M Alfano, E Sullivan The Routledge Handbook of Political Epistemology, 480-491, 2021 | 14 | 2021 |
| Model explanation versus model-induced explanation I Lawler, E Sullivan Foundations of Science 26 (4), 1049-1074, 2021 | 12 | 2021 |
| Universality caused: the case of renormalization group explanation E Sullivan European Journal for Philosophy of Science 9 (3), 1-21, 2019 | 12 | 2019 |
| Humility in social networks M Alfano, E Sullivan The Routledge Handbook of Philosophy of Humility, 484-494, 2020 | 10* | 2020 |
| Inductive Risk, Understanding, and Opaque Machine Learning Models E Sullivan Philosophy of Science 89 (5), 1065-1074, 2022 | 9 | 2022 |
| Annotating credibility: identifying and mitigating bias in credibility datasets D Bountouridis, M Makhortykh, E Sullivan, J Harambam, N Tintarev, ... ROME 2019-Workshop on Reducing Online Misinformation Exposure, 2019 | 8 | 2019 |
| Social Network-Epistemology M Alfano, S Cunningham, W Meulemans, I Rutter, M Sondag, ... 2018 IEEE 14th International Conference on e-Science (e-Science), 320-321, 2018 | 7 | 2018 |
| Vectors of epistemic insecurity E Sullivan, M Alfano Vice Epistemology, 148-164, 2020 | 6 | 2020 |
| From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse E Sullivan, P Verreault-Julien Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 712-722, 2022 | 5 | 2022 |
| Ethical pitfalls for natural language processing in psychology M Alfano, E Sullivan, AE Fard | 5 | 2022 |
| Beyond Testimony: When Online Information Sharing is not Testifying E Sullivan Social Epistemology Review and Reply Collective 8 (10), 20-24, 2019 | 5 | 2019 |
