# Delegation Asymmetry in Agentic Recommender Systems: Measuring Two-Sided Receptivity in Online Dating

Source: [arXiv](https://arxiv.org/abs/2608.18058v1)  
Feed7 permalink: https://feed7.dev/p/2608-18058v1-1bdt539  
Published: 2026-08-18T17:51:16.000Z  
Trust: Needs Review (needs_review)

## Why Included

Users were far more willing to deploy their own conversational agent than engage someone else’s, making receiver consent and receptivity-aware routing core product constraints.

## Source Summary

Two dating-platform surveys covered **2,894** users for generative profiles and **2,617** for conversational agents. Deployment and reception were distinct despite **rho=0.92** correlation; only **4–13% of directed pairs** combined agent use with receiver engagement.

## Practical Implication

Builders of agent-mediated marketplaces should model both sides independently. Add disclosure and opt-in controls, then route agent contacts using the recipient’s stated receptivity instead of treating sender adoption as sufficient demand.

## Agent-Ready Context

Two dating-platform surveys covered **2,894** users for generative profiles and **2,617** for conversational agents. Deployment and reception were distinct despite **rho=0.92** correlation; only **4–13% of directed pairs** combined agent use with receiver engagement.

Builders of agent-mediated marketplaces should model both sides independently. Add disclosure and opt-in controls, then route agent contacts using the recipient’s stated receptivity instead of treating sender adoption as sufficient demand.

The evidence is based on stated preferences in online dating, not observed behavior across agent products. Reciprocity reduced projected volume by at least half, while receptivity-aware routing gains came from a counterfactual model.

## Context Map

- Layer: industry
- Domains: None
- Topics: adoption

## Uncertainty

- The evidence is based on stated preferences in online dating, not observed behavior across agent products. Reciprocity reduced projected volume by at least half, while receptivity-aware routing gains came from a counterfactual model.

## Agent Instruction

Use this item as source-backed context. Do not invent claims beyond the linked source. If this item conflicts with another source, call out the conflict.