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Sina Fazelpour
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2020 – today
- 2024
- [i9]Terrence Neumann, Sooyong Lee, Maria De-Arteaga, Sina Fazelpour, Matthew Lease:
Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation. CoRR abs/2401.16558 (2024) - [i8]Sina Fazelpour:
Disciplining deliberation: a sociotechnical perspective on machine learning trade-offs. CoRR abs/2403.04226 (2024) - [i7]Nil-Jana Akpinar, Sina Fazelpour:
Authenticity and exclusion: social media recommendation algorithms and the dynamics of belonging in professional networks. CoRR abs/2407.08552 (2024) - [i6]Yuan Gao, Dokyun Lee, Gordon Burtch, Sina Fazelpour:
Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina. CoRR abs/2410.19599 (2024) - 2022
- [j2]Sina Fazelpour
, Maria De-Arteaga
Diversity in sociotechnical machine learning systems. Big Data Soc. 9(1): 205395172210820 (2022) - [c5]Sina Fazelpour, Hannah Rubin:
Diversity and homophily in social networks. CogSci 2022 - [c4]Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary C. Lipton, David Danks:
Homophily and Incentive Effects in Use of Algorithms. CogSci 2022 - [c3]Terrence Neumann, Maria De-Arteaga, Sina Fazelpour:
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms. FAccT 2022: 1504-1515 - [i5]Terrence Neumann, Maria De-Arteaga, Sina Fazelpour:
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms. CoRR abs/2204.13568 (2022) - [i4]Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary C. Lipton, David Danks:
Homophily and Incentive Effects in Use of Algorithms. CoRR abs/2205.09701 (2022) - 2021
- [j1]Daniel Steel, Sina Fazelpour
Information elaboration and epistemic effects of diversity. Synth. 198(2): 1287-1307 (2021) - [c2]Jessica Dai, Sina Fazelpour
Fair Machine Learning Under Partial Compliance. AIES 2021: 55-65 - [i3]Sina Fazelpour, Maria De-Arteaga:
Diversity in Sociotechnical Machine Learning Systems. CoRR abs/2107.09163 (2021) - 2020
- [c1]Sina Fazelpour
Algorithmic Fairness from a Non-ideal Perspective. AIES 2020: 57-63 - [i2]Sina Fazelpour, Zachary C. Lipton:
Algorithmic Fairness from a Non-ideal Perspective. CoRR abs/2001.09773 (2020) - [i1]Jessica Dai, Sina Fazelpour
Fair Machine Learning Under Partial Compliance. CoRR abs/2011.03654 (2020)
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