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Alexander Spangher
Alexander Spangher
Verified email at usc.edu
Title
Cited by
Cited by
Year
Actionable recourse in linear classification
B Ustun, A Spangher, Y Liu
Proceedings of the conference on fairness, accountability, and transparency …, 2019
6102019
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
502018
Building the next New York Times recommendation engine
A Spangher
The New York Times, 08-26, 2015
402015
Stay on topic with classifier-free guidance
G Sanchez, H Fan, A Spangher, E Levi, PS Ammanamanchi, S Biderman
arXiv preprint arXiv:2306.17806, 2023
342023
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
33*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
332018
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
29*2022
Actionable recourse in linear classification
A Spangher, B Ustun, Y Liu
Proceedings of the 5th workshop on fairness, accountability and transparency …, 2018
242018
Understanding multimodal procedural knowledge by sequencing multimodal instructional manuals
TL Wu, A Spangher, P Alipoormolabashi, M Freedman, R Weischedel, ...
arXiv preprint arXiv:2110.08486, 2021
212021
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
172020
Sequentially controlled text generation
A Spangher, X Hua, Y Ming, N Peng
arXiv preprint arXiv:2301.02299, 2023
142023
"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
92021
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
82020
How Does This Article Make You Feel?
S Alexander
NYT Open, October 31, 2018
82018
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
arXiv preprint arXiv:2407.13248, 2024
62024
Identifying Informational Sources in News Articles
A Spangher, N Peng, J May, E Ferrara
arXiv preprint arXiv:2305.14904, 2023
62023
Learning action conditions from instructional manuals for instruction understanding
TL Wu, C Zhang, Q Hu, A Spangher, N Peng
arXiv preprint arXiv:2205.12420, 2022
42022
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 Language …, 2024
32024
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
32021
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
22024
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