---
title: Diversity of perspectives
description: Learn more about how Community Notes identifies notes that many people on X will find helpful, including people with different points of view.
navWeight: 90
---
# Diversity of perspectives

Community Notes aims to identify notes that many people on X will find helpful, including people with different points of view.

To find notes that are helpful to the broadest possible set of people, Community Notes takes into account **not only how many** contributors rated a note as helpful or unhelpful, **but also whether people who rated it seem to come from different perspectives**.

Community Notes assesses "different perspectives" entirely based on how people have rated notes in the past; Community Notes does not ask about or use any other information to do this (e.g. demographics like location, gender, or political affiliation, or data from X such as follows or posts). This is based on the intuition that Contributors who tend to rate the same notes similarly are likely to have more similar perspectives while contributors who rate notes differently are likely to have different perspectives. If people who typically disagree in their ratings agree that a given note is helpful, it's probably a good indicator the note is helpful to people from different points of view.

This approach has a number of benefits. First, it reflects the reality that people’s views can be nuanced, rather than defined by demographics. Second, in support of our focus on transparency, it allows people working with [Community Notes public data](../under-the-hood/download-data.md) to replicate, analyze and audit how Community Notes works, as it allows Community Notes to run entirely on publicly available data.

We are constantly evaluating ways to improve this approach (and [welcome suggestions](./feedback.md)) This current method has shown promising results in helping find quality notes: in surveys of people who use X in the US, the majority of respondents found notes that earned a status of "Helpful" by Community Notes contributors to be “somewhat” or “extremely” helpful — this includes people from across the political spectrum.

In addition to the approach described here, we also work to understand specifically how helpful notes are to people from different political perspectives. For example, by analyzing X's follow, like, and repost graphs. It's important to note that these analyses don't directly impact the ratings of specific notes. Instead, they serve as a quality measure that links to specific notes and aids in refining our open-source algorithms. [Learn more here](../under-the-hood/guardrails.md).

If you're interested in the math and code powering Community Notes, take a look at our [Note Ranking: Under the Hood](../under-the-hood/note-ranking-code.md) section.