Are my messages private? Can the developers read my messages?

Written By Will (F&F Dev)

Last updated 28 days ago

As a company principle, we aim to be as engaged and transparent as possible with our community. We wrote this article to share some information on how your data may be used by our team in simple terms, but please refer to the Terms of Service and Privacy Policy which describes everything in full.

By default, all messages sent in a campaign are private. They are only accessible by the players invited to the campaign. All data on our platform is encrypted at rest with AES-256 and in transit via TLS.

Please note that our platform, like most cloud AI services, does not support end-to-end encryption. In short, AI processing requires the messages to be in plain text, which means the encryption key must be stored on the platforms’ servers. If you’re interested in learning more as to why AI services are not yet compatible with end-to-end encryption, you can read this article.

This means that in any cloud AI service, including ours, the developers can technically access message contents when required. We take player privacy very seriously, and our company policy is that we do not access any messages or player data unless it’s for the following reasons:

Bug Reporting and Troubleshooting

If you submit a bug report with an event ID, our developers may review the reported message along with some surrounding messages to help investigate and resolve the issue effectively.

Aggregated Data Analysis

Sometimes, we analyze data statistics in aggregate to inform product decisions and improvements. For example, we may assess:

  • The ratio of thumbs-up versus thumbs-down reactions over the past 30 days.

  • The number of negative feedback reports per category.

  • The usage of certain settings, such as how many campaigns play with certain features on or off.

Identifying Trends and Issues from User Feedback

If we notice a sudden increase in dislikes or message rewrites within a specific category (such as storytelling), we may review the comments and contents of recently disliked messages to identify patterns or common problems.