An update to Google Social Search
Today we're doing a little bit more to bring you all the goodness of Google, plus the opinions of the people you care about. As always, we want to help you find the most relevant answers among the billions of interconnected pages on the web.
Context & Ripple Effects
Google had already extended personalized search to all users and brought tweets and status updates into search. The Social Search update advances that same relevance strategy by incorporating opinions from a user's social connections, making the social graph another input to discovery rather than a separate destination.
First-order effects
- Google Social Search users receive results informed by opinions from their social connections, alongside Google's broader relevance signals.
- Google gains another way to differentiate its search experience through relationship-based context rather than identical results for every user.
Second-order effects
- Publishers and creators whose material is shared or discussed within users' networks gain a potential discovery path that depends on social connections as well as conventional search visibility.
- Search products seeking to match Google's relevance framing face pressure to incorporate timely social signals without losing the breadth of web search.
Third-order effects
- If Google continues combining personal history, social relationships, and web indexing, search results become more individually contextualized and less easily described as a single universal ranking.
- The move points toward search platforms competing on the quality of the user context they can apply to the open web, not only the size of their indexes.
The trend: Web search is evolving from a uniform ranking of pages toward results shaped by each user's personal and social context.