Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact
cs.CY, cs.AI
Submitted: 2026-05-13
Updated: 2026-10-01
Comments: Accepted to the 2026 ACM Internet Measurement Conference (IMC 2026)
Journal ref: Proceedings of the 2026 ACM Internet Measurement Conference (IMC '26), 2026, pp. 529-546
Code: https://github.com/haofeix/google-aio-characterization
Project page: https://blog.google/products-and-platforms/products/search/new-controlswebsite-owners
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- The Rise of AI Search: Implications for Information Markets and Human Judgement at Scale
- Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning
- Why Language Models Hallucinate
- Impact of AI Search Summaries on Website Traffic: Evidence from Google AI Overviews and Wikipedia
- Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses
- AI summaries in online search influence users' attitudes
Related papers
- Reasoning Enhances Robustness to Prompt Injection in LLM-Based Consensus
- Generative AI Purpose-built for Social and Mental Health: A Real-World Pilot
- PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Tasks
- What is an intelligent system?
- AI University: An LLM-Powered Learning Assistant for Engineering---A Finite Element Method Case Study
- Generative AI Use in Entrepreneurship: An Integrative Review and an Empowerment-Entrapment Framework