| Omnipedia: bridging the wikipedia language gap P Bao, B Hecht, S Carton, M Quaderi, M Horn, D Gergle Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2012 | 142 | 2012 |
| Rumorlens: A system for analyzing the impact of rumors and corrections in social media P Resnick, S Carton, S Park, Y Shen, N Zeffer Proc. Computational Journalism Conference 5 (7), 2014 | 97 | 2014 |
| Human-ai collaboration via conditional delegation: A case study of content moderation V Lai, S Carton, R Bhatnagar, QV Liao, Y Zhang, C Tan Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 86 | 2022 |
| Feature-based explanations don't help people detect misclassifications of online toxicity S Carton, Q Mei, P Resnick Proceedings of the international AAAI conference on web and social media 14 …, 2020 | 57 | 2020 |
| Identifying police officers at risk of adverse events S Carton, J Helsby, K Joseph, A Mahmud, Y Park, J Walsh, C Cody, ... Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 57 | 2016 |
| Explanatory semantic relatedness and explicit spatialization for exploratory search B Hecht, SH Carton, M Quaderi, J Schöning, M Raubal, D Gergle, ... Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 55 | 2012 |
| Evaluating and characterizing human rationales S Carton, A Rathore, C Tan arXiv preprint arXiv:2010.04736, 2020 | 46 | 2020 |
| Early intervention systems: Predicting adverse interactions between police and the public J Helsby, S Carton, K Joseph, A Mahmud, Y Park, A Navarrete, ... Criminal justice policy review 29 (2), 190-209, 2018 | 45 | 2018 |
| An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification. C Gârbacea, M Guo, S Carton, Q Mei CoRR, 2020 | 41 | 2020 |
| Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts S Carton, Q Mei, P Resnick Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 40 | 2018 |
| Judge the judges: A large-scale evaluation study of neural language models for online review generation C Garbacea, S Carton, S Yan, Q Mei arXiv preprint arXiv:1901.00398, 2019 | 23 | 2019 |
| Explainable prediction of text complexity: The missing preliminaries for text simplification C Garbacea, M Guo, S Carton, Q Mei arXiv preprint arXiv:2007.15823, 2020 | 22 | 2020 |
| What to learn, and how: Toward effective learning from rationales S Carton, S Kanoria, C Tan Findings of the Association for Computational Linguistics: ACL 2022, 1075-1088, 2022 | 18 | 2022 |
| Perspective: large language models in applied mechanics NR Brodnik, S Carton, C Muir, S Ghosh, D Downey, MLP Echlin, ... Journal of Applied Mechanics 90 (10), 101008, 2023 | 12 | 2023 |
| Audience analysis for competing memes in social media S Carton, S Park, N Zeffer, E Adar, Q Mei, P Resnick Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015 | 12 | 2015 |
| Human-centered evaluation of explanations J Boyd-Graber, S Carton, S Feng, QV Liao, T Lombrozo, A Smith-Renner, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 9 | 2022 |
| Harnessing explanations to bridge ai and humans V Lai, S Carton, C Tan arXiv preprint arXiv:2003.07370, 2020 | 6 | 2020 |
| Learning to Ignore Adversarial Attacks Y Zhang, Y Zhou, S Carton, C Tan arXiv preprint arXiv:2205.11551, 2022 | 1 | 2022 |
| The Design and Evaluation of Neural Attention Mechanisms for Explaining Text Classifiers S Carton | 1 | 2019 |
| Early Warning/Intervention Systems (presentation slides from NACOLE Symposium 2016 held at John Jay College) J Helsby, S Carton, K Joseph, A Mahmud, Y Park, J Walsh, L Haynes | | 2016 |
