| Actionable recourse in linear classification B Ustun, A Spangher, Y Liu Proceedings of the conference on fairness, accountability, and transparency …, 2019 | 622 | 2019 |
| Characterizing the Internet Research Agency’s social media operations during the 2016 US presidential election using linguistic analyses RL Boyd, A Spangher, A Fourney, B Nushi, G Ranade, J Pennebaker, ... PsyArXiv, 2018 | 52 | 2018 |
| Building the next New York Times recommendation engine A Spangher The New York Times, 08-26, 2015 | 41 | 2015 |
| Stay on topic with classifier-free guidance G Sanchez, H Fan, A Spangher, E Levi, S Biderman 🏆 Forty-first International Conference on Machine Learning (Spotlight Award), 2023 | 38 | 2023 |
| Multitask semi-supervised learning for class-imbalanced discourse classification A Spangher, J May, SR Shiang, L Deng Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 34* | 2021 |
| Analysis of Strategy and Spread of Russia-sponsored Content in the US in 2017 A Spangher, G Ranade, B Nushi, A Fourney, E Horvitz arXiv preprint arXiv:1810.10033, 2018 | 33 | 2018 |
| Newsedits: A news article revision dataset and a novel document-level reasoning challenge A Spangher, X Ren, J May, N Peng 🏆 Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 32* | 2022 |
| Actionable recourse in linear classification A Spangher, B Ustun, Y Liu Proceedings of the 5th workshop on fairness, accountability and transparency …, 2018 | 24 | 2018 |
| Understanding multimodal procedural knowledge by sequencing multimodal instructional manuals TL Wu, A Spangher, P Alipoormolabashi, M Freedman, R Weischedel, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2021 | 22 | 2021 |
| Enabling low-resource transfer learning across COVID-19 corpora by combining event-extraction and co-training A Spangher, N Peng, J May, E Ferrara Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020, 2020 | 17 | 2020 |
| Sequentially controlled text generation A Spangher, X Hua, Y Ming, N Peng Findings of the Association for Computational Linguistics: EMNLP 2022., 2023 | 15 | 2023 |
| Are Large Language Models Capable of Generating Human-Level Narratives? Y Tian, T Huang, M Liu, D Jiang, A Spangher, M Chen, J May, N Peng 🏆 Proceedings of the 2024 Conference on Empirical Methods in Natural …, 2024 | 12 | 2024 |
| "Don't quote me on that": Finding Mixtures of Sources in News Articles A Spangher, N Peng, J May, E Ferrara Computation+Journalism2020, arXiv preprint arXiv:2104.09656, 2021 | 9 | 2021 |
| Characterizing search-engine traffic to internet research agency web properties A Spangher, G Ranade, B Nushi, A Fourney, E Horvitz Proceedings of The Web Conference 2020, 2253-2263, 2020 | 8 | 2020 |
| How Does This Article Make You Feel? S Alexander NYT Open, October 31, 2018 | 8 | 2018 |
| Identifying Informational Sources in News Articles A Spangher, N Peng, J May, E Ferrara Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 7 | 2023 |
| Learning action conditions from instructional manuals for instruction understanding TL Wu, C Zhang, Q Hu, A Spangher, N Peng Proceedings of the 61st Annual Meeting of the Association for Computational …, 2022 | 4 | 2022 |
| Do llms plan like human writers? comparing journalist coverage of press releases with llms A Spangher, N Peng, S Gehrmann, M Dredze 🏆 Proceedings of the 2024 Conference on Empirical Methods in Natural …, 2024 | 3 | 2024 |
| what’s the diff?”: Examining news article updates and changing narratives during the uss theodore roosevelt coronavirus crisis A Spangher, AL Scott, K Huang-Isherwood Annenberg Scymposium, 2021 | 3 | 2021 |
| Explaining mixtures of sources in news articles A Spangher, J Youn, M DeButts, N Peng, E Ferrara, J May arXiv preprint arXiv:2411.05192, 2024 | 2 | 2024 |
