This document discusses using social signals from sources like Facebook and Amazon to enhance search rankings. It presents research questions about how to estimate resource popularity and reputation from social signals, and how the diversity and freshness of signals impacts search results. The document outlines experiments to evaluate the impact of social signal properties like diversity, normalization by resource age, and incorporating signal temporality. The goal is to leverage social data to provide more relevant search results to users.