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Author

Riley Grossman

Observed name: Grossman, Riley
ORCID: 0009-0009-1114-6375
Observed ORCID: 0009-0009-1114-6375
OpenAlex ID: A5103047603
A Study of GDPR Compliance under the Transparency and Consent Framework
2024 · Michael Smith, Antonio Torres-Agüero, et al. · International World Wide Web Conference (WWW) · 7
A Longitudinal Study of Extended User IDs in the Online Advertising Ecosystem
2026 · Michael Smith, Riley Grossman, et al. · ACM Internet Measurement Conference (IMC)
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Bridging the Gap: A Longitudinal Analysis of Extended Identifiers in the Post-Cookie Era
2026 · Smith, Michael, Grossman, Riley, et al. · arXiv (Cornell University)
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EIDs in Header Bidding Data (2022-2025)
2026 · Grossman, Riley · Zenodo (CERN European Organization for Nuclear Research)
How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews
2026 · Riley Grossman, Songjiang Liu, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Multilingual Disparities in LLM-Based Safety Judgments: Evidence from Brand Safety Applications
2026 · Association for Computational Linguistics 2026, Borcea, Cristian, et al. · Underline Science Inc.
Zero-shot Large Language Models for Automatic Readability Assessment
2026 · Association for Computational Linguistics 2026, Chen, Yi, et al. · Underline Science Inc.
Using Salient Object Detection to Identify Manipulative Cookie Banners That Circumvent GDPR
2026 · Riley Grossman, Michael E Smith, et al. · Proceedings of the International AAAI Conference on Web and Social Media
Inconsistencies in Classification of Online News Articles: A Call for Common Standards in Brand Safety Services
2026 · Michael E Smith, Riley Grossman, et al. · Proceedings of the International AAAI Conference on Web and Social Media
How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews
2026 · Grossman, Riley, Liu, Songjiang, et al. · arXiv (Cornell University)
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Zero-shot Large Language Models for Automatic Readability Assessment
2026 · Grossman, Riley, Chen, Yi · arXiv (Cornell University)
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Inconsistencies in Classification of Online News Articles: A Call for Common Standards in Brand Safety Services
2026 · Smith, Michael, Grossman, Riley, et al. · arXiv (Cornell University)
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Zero-shot Large Language Models for Automatic Readability Assessment
2026 · Riley Grossman, Yi Chen · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Multilingual Disparities in LLM-Based Safety Judgments: Evidence from Brand Safety Applications
2026 · Songjiang Liu, Riley Grossman, et al. · Workshop on Multilinguality in the Era of Large Language Models (MeLLM)
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Explaining Clinical Outcome Predictions with Compositional Rationale Extraction Model
2025 · Weiting Gao, Riley Grossman, et al. · IEEE International Conference on Big Data (BigData)
Works count: 16
Citation count: 7
H-index: 1
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