> For the complete documentation index, see [llms.txt](https://docs.neighbourhoods.network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.neighbourhoods.network/peer-verification-+-social-sensemaking.md). # Peer Verification + Social Sensemaking Guiding principles of Neighbourhoods are to bend the algorithmic cultures that we're all a part toward transparency, reduction of information asymmetries, and using collected data to support individual and collective autonomy. But how does this happen in practice? **Peer verification** is crucial, given the high impact of reputation data on individuals and communities. The Social Sensemaker facilitates "peer verification" at many socially-relevant junctures: * asking the original creator of a score to re-compute it * asking other agents with visibility into the Neighbourhood(s) to execute the same computation * comparing computation results of many actors' subjective viewpoints in order to reason about a shared truth in a nuanced way * verifying computations made by others using one's own visibility into a Neighbourhood *We're focusing on peer verification to be able to include capabilities for individual computations on Neighbourhood-level data, and individual-level composability of different Neighbourhoods' cultural perspectives.* --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.neighbourhoods.network/peer-verification-+-social-sensemaking.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.