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Publications

2026
Asymmetric Phase Coding Audio Watermarking
Guang Yang, Fengchen Liu, Zhong Wang, Amir Ghasemian, Ninareh Mehrabi, and Homa Hosseinmardi
NeurIPS 2026
Algorithmic systems, human agency and the future of platform research
Homa Hosseinmardi, Upasana Dutta, David Rothschild, and Duncan J. Watts
Nature Computational Science, Volume 6, pages 923–938, 2026
Beyond Binary Detection: A Multi-Dimensional Taxonomy of Cancer Misinformation on Reddit
Aria Pessianzadeh, Pooriya Jamie, Naima Sultana, Georgia Himmelstein, Yuliya Zektser, Patricia Ganz, Homa Hosseinmardi, Amir Ghasemian, and Rezvaneh Rezapour
Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
Hidden Configuration Effects on Fairness in LLM-Based Multi-Agent Decision Systems
Hamed Loghmani, Ninareh Mehrabi, Homa Hosseinmardi, and Amir Ghasemian
Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
How You Ask Shapes What You Get: Auditing Breast-Cancer Misinformation in TikTok Search
Pooriya Jamie, Homa Hosseinmardi, Rezvaneh Rezapour, Aria Pessianzadeh, Patricia A. Ganz, and Amir Ghasemian
DAIH Workshop at the Conference on Language Modeling (COLM), 2026
From Refusal to Reframing: Auditing State-Aligned Framing in China-Origin Vision–Language Models
Guang Yang, Fengchen Liu, Alex Wang, Homa Hosseinmardi, and Amir Ghasemian
arXiv preprint arXiv:2608.11816, 2026
Seeking Help, Facing Harm: Auditing TikTok’s Mental Health Recommendations
Pooriya Jamie, Amir Ghasemian, and Homa Hosseinmardi
Proceedings of the International AAAI Conference on Web and Social Media, 2026
LLM-Assisted Reranking to Operationalize Nuanced Objectives in Recommender Systems
Amir Ghasemian, Homa Hosseinmardi, Upasana Dutta, and Duncan J. Watts
arXiv preprint arXiv:2606.02883, 2026
Asking Back: Interaction-Layer Antidistillation Watermarks
Guang Yang, Amir Ghasemian, Fengchen Liu, Zhong Wang, Ninareh Mehrabi, and Homa Hosseinmardi
arXiv preprint arXiv:2605.16462, 2026
What Stays and What Goes: Auditing the Impact of LLM Summarization on News Partisanship
Pavel Savgira, Elisa Kreiss, and Homa Hosseinmardi
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

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