How do Web3 social platforms tokenize user influence? How to prevent token inflation from botting?Influence is quantified by engagement (likes, shares, retention) + content quality. Anti-bot measures: Sybil detection (unique user IDs), engagement verification (genuine interactions), and dynamic token emission (adjust based on real user growth).
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A stablecoin’s cash reserves drop 50%→30%, commercial paper up. How much does user trust decline?Trust declines by ~25-35%. Cash is seen as the safest reserve (instant redemption). More commercial paper raises concerns about liquidity—users worry the stablecoin can’t meet sudden redemption demands, leading to outflows.
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How to design a schedule for 5 testnet contract interactions (10-18hr gaps) to finish fast without missing?Start Day 1: 9 AM (1st interaction). Schedule next: Day 1 8 PM (11hr gap, 2nd), Day 2 5 AM (9hr, no—wait to 10 AM, 14hr, 3rd), Day 2 8 PM (10hr, 4th), Day 3 4 PM (20hr—adjust to 2 PM, 18hr, 5th). Finish in ~48 hours.
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