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C O M P Ξ Z
@compez.eth
What if we implement a formula like this? I’ve put a lot of thought into designing a formula that evaluates multiple sources and then reaches a balanced conclusion. The idea is that if one source is inaccurate or biased, the others should help correct the final outcome. This approach considers three key inputs: 1️⃣ WC Spam Label – Detects the likelihood of spammy behavior. 2️⃣ OpenRank – Measures engagement and following credibility. 3️⃣ Neynar Score – Evaluates overall user quality based on interactions. By combining these sources mathematically, we get an objective and transparent way to classify users. The output so far looks promising—it provides clear differentiation between trusted users, suspicious accounts, and spammers. What do you think? Would this model make trust scoring more fair and convincing for everyone?
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Pouya
@pouyacobain
Ba in 3ta kiri khari ke az koonet daravordi user jaid chetori mitoone daily begire Khob kiri betoon zad jack Dige Doran open rank va daily moft gozasht kiri khan
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