> For the complete documentation index, see [llms.txt](https://docs.teadao.money/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.teadao.money/products/sentry/dash-board/project-detail/social.md).
# Social
**Social Score**
A combination of four metrics — the price score, social impact score, average sentiment, and correlation rank. It measures the relative price appreciation between current and previous interval MACD (moving average convergence divergence), engagement and impact across various social media platforms, average sentiment classified by our machine-learning engines, and correlation of social media volumes and spam to price and volume. The metrics are aggregated and normalized to a scale of 100.
**Social Volume**
The total number of text documents that contain the given search term at least once. Examples of documents are telegram messages and Twitter tweets. If a single short telegram message includes the word “Axie” more than once, this message will increase the social volume of the word “Axie” by 1. If a tweet contains the word ”Axie” 10 times, this again will increase the social volume of the word ”Axie” by 1.
**Social Engagement**
The process of communicating (engaging) in the community of a GF project.
The conversation can take place on individual social media platforms such as Twitter, Telegram, or in blogs, forums, and third-party review sites. A strong social engagement strategy allows projects to remain in constant contact with their players by advancing brand interests and responding to feedback in a seamless cycle.
---
# 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.teadao.money/products/sentry/dash-board/project-detail/social.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.