> For the complete documentation index, see [llms.txt](https://kitsune-4.gitbook.io/kitsune-raid-suite-guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://kitsune-4.gitbook.io/kitsune-raid-suite-guide/raid-suite-features/raid-etiquette.md).

# Raid Etiquette

One of Kitsune's primary objectives is to enhance engagement on posts with impactful replies, as non-generic replies contribute more to increasing the number of impressions a post might receive.&#x20;

Raiders who repeatedly post *spam-like* replies may be subject to X shadowbans, reducing the visibility of their posts for several weeks. Additionally, shadowbanned users are less likely to be eligible for R2E rewards.&#x20;

It is advised that group admins alert their communities on the importance of posting meaningful replies, avoiding the following:

* Single words, hashtags, or emojis
* Repeated/Copied text in multiple replies
* Repeated image replies
* Posting links
* Engaging with spam replies
* Anything that violates the [platform rules and policies ](https://help.x.com/en/rules-and-policies)

## An AI Solution&#x20;

<figure><img src="https://249524521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FK4jnR6LsRd5XyrYEVp2d%2Fuploads%2Fg0V0S4lnCokhZ0ZgQNDO%2Fphoto1713124688.jpeg?alt=media&amp;token=4e51de24-017f-44b3-8bab-4a586d99b90a" alt="" width="250"><figcaption></figcaption></figure>

To encourage quality replies, Kitsune is currently developing a sentiment analysis tool to be integrated as a part of the Raid Suite. This tool will analyse replies a natural language processing (NLP) algorithm, to gauge the effectiveness of a reply. Raiders whose posts are deemed high-quality by the AI will receive higher R2E rewards.

<figure><img src="https://249524521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FK4jnR6LsRd5XyrYEVp2d%2Fuploads%2FWpcsTY1gxL4BUw36Sn7u%2FScreenshot%202024-05-18%20at%2013.00.24.png?alt=media&amp;token=2a6f1a65-1195-458a-ae64-5a7a4d0f0cb2" alt="" width="49"><figcaption></figcaption></figure>
