> 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.*