User interactions are used across our systems to measure whether a post could be relevant to the community. The issue we're encountering is that users will often try to break these mechanisms and attempt to leverage them to their advantage.
Ping is a central component to ensuring that the system stays healthy and that content that is actually relevant is properly featured. There's two mechanisms that I would like to introduce here:
- Bias detection. To prevent bad actors from creating "noise" that is intended to distract the system. For example, sock puppet accounts and like-bombing are a common theme.
- Personalized recommendations I would like to drive the system towards personalization, so that a user sees featured content that is relevant within their circles whenever possible. The issue here is that this can be computationally expensive.
These should help discourage users who wish to "poison the well" by spamming likes and comments on content that is not relevant to other users on the platform.