arXiv (All)
open access
Mechanism Design for AI Overviews: Creator Incentives and Long-Term Profit
The integration of AI Overviews into search engines enhances user experience but diverts traffic from content creators, potentially discouraging high-quality content creation and causing user attrition that undermines long-term search engine profit. To address this issue, we propose a game-theoretic
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- RATIO: A Benchmark for Retrieval Across Typed Ideation Operations in Scientific Literature#820648
- GroundedGEO: Auditing the Evidence Gap in Generative Search Rankings#1051682
- How Calibration Content Shapes Attention-Based Reranking#1011486
- LitReview Arena: Evaluating Literature Review Agents with Battle-Style Peer Review Platform#1129367
- When does a scaling result justify a different allocation? A critical review of resource-allocation evidence for AI systems#1084447
Record · ID 1117312
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive