Rewards
Every 24 hours at midnight UTC, new BANG tokens are minted and distributed based on activity in the last 24 hours. Claim your rewards at anytime. 10% of unclaimed rewards are burned every 7 days they are left unclaimed.
90% of new BANG tokens go to tweets (Tweet Rewards). For each tweet's reward, 80% goes to voters (Curator Rewards) and 20% goes to the tweet author (Creator Rewards).
10% of new BANG tokens go to inviters (Inviter Rewards).
Tweet Rewards
Tweets that get more voters with higher conviction earn more rewards
Tweet's net impact:
TweetNetImpact = TweetUpImpact - TweetDownImpact
TweetUpImpact =
(e^-e^(-8*(Normalized(UniqueUpvoters)-0.25)) *
Normalized(AvgUpConviction)^2 *
Normalized(Power)^0.5
TweetDownImpact =
(e^-e^(-8*(Normalized(UniqueDownvoters)-0.25)) *
Normalized(AvgDownConviction)^2 *
Normalized(Power)^0.5
Tweet's effective impact:
if TweetNetImpact > 0,
TweetEffectiveImpact = TweetNetImpact
else if TweetNetImpact < 0,
TweetEffectiveImpact = TweetUpImpact * 0.5
If a tweet's Net Impact is negative, then downvoters are rewarded based on 50% of the Positive Impact of the tweet. This encourages only downvoting over-upvoted slop, instead of dogpiling onto obviously bad tweets, which earns no rewards.
Tweet's reward share:
TweetRewards = (TweetEffectiveImpact / TotalEffectiveImpact) * (TotalRewards * 0.9)
Curator Rewards
Voters that vote for top tweets harder and earlier earn more rewards
Only the "winning" side voters of a tweet's Net Impact is rewarded.
Voter's taste:
UpvoterTaste = SUM[
Normalized(Earliness)^1.5 *
(e^-e^(-8*(Normalized(Conviction)-0.25)) *
Normalized(Power)^0.5
] for all voter's upvotes on that tweet
DownvoterTaste = SUM[
Normalized(Earliness)^1.5 *
(e^-e^(-8*(Normalized(Conviction)-0.25)) *
Normalized(Power)^0.5
] for all voter's downvotes on that tweet
Voter's Tweet reward share:
If TweetNetImpact > 0,
CuratorRewards = (UpvoterTaste / TotalUpvoteTaste) * (TweetRewards * 0.8)
If TweetNetImpact < 0,
CuratorRewards = (DownvoterTaste / TotalDownvoteTaste) * (TweetRewards * 0.8)
Creator Rewards
Authors whose tweets get more upvoters with higher conviction earn more rewards
Creator Rewards for authors of negative Net Impact tweets get re-distributed to authors of positive Net Impact tweets.
Author's clout:
AuthorClout = AuthorRewardBoost * SUM[TweetRewards] for all authored tweets with TweetNetImpact > 0 in period
Author's Tweet reward share:
AuthorRewards = (AuthorClout / TotalClout) * (SUM[TweetRewards * 0.2] for all authored tweets with TweetNetImpact > 0 in period)
Inviter Rewards
Inviters whose invitees vote for top tweets harder and earlier earn more rewards
Inviter's relationship degree factor:
InviteDegree = 5 if direct invite, 2 if second-degree invite, 1 if third-degree invite
Inviter's connection:
InviterConnection = SUM[VoterCuratorRewards * InviteDegree * InviterRewardBoost] for all voters that earned curator rewards in the period
Inviter's reward share:
InviterRewards = (InviterConnection / TotalConnection) * (TotalRewards * 0.1)
Last updated