We don’t have to choose between follows vs user interactions vs something else. Our trust graphs are ultimately going to incorporate all sources of data available to us: follows, mutes, reports, reactions, replies, zaps, etc. The key to making this work is a step that I like to call interpretation: find some raw data sources (like replies and other user interactions), execute a script that translates the raw data into a standardized format that is ready to be digested by your trust score calculation engine. This is how GrapeRank works. My goal is to create personalized WoT relays that use GrapeRank to calculate contextual trust scores, with interpretations tailored to fit your personal preferences and beliefs.