Mainnet Upgraded. A more favorable rewarding algorithm is here.
Dear COSers,
We have completed the mainnet upgrade on October 15, 2019, 15:32:34 (UTC+8).
In response to the feedback of voting power distribution, the Contentos mainnet now calculates the eco-reward in a linear model instead of the previous parabolic model. That is to say, the voting power is now linearly dependent on the VEST holding.
In Contentos ecosystem, holding more VEST denotes a long-term commitment to the content ecosystem. The accounts with more VEST are to be given more power over the eco-reward distribution and they are responsible for liking good contents wisely and carefully. After all, with great power comes great responsibility.
Although we’re trying to make the reward distribution more favorable by the majority, the upgrade caused some issues. And we are here to make it right.
Due to the newly deployed algorithm, the reward calculation for contents published between October 8, 15:32:34 and October 15, 15:32:34 (UTC+8) are impacted. Many of you may have noticed the significant change of reward estimations on COS.TV.
According to the snapshot taken on October 15, 15:32:34 (UTC+8), we will allocate a total of 300,000 VEST compensation rewards according to the ratio of voting power of each content. We expect to complete the compensation calculation within 48 hours and distribute to users within 7 days.
Thank you for supporting us. Let’s make Contentos a better place for everyone.
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Contentos is a public-chain project for the global digital content industry. With blockchain technology, Contentos focuses on solving the challenges of today’s centralized content platform, including content distribution, content monetization, property rights confirmation and property management, etc. Contentos is committed to empowering creators so that they can generate reasonable revenue through the creation and promote effective collaboration with advertisers, fans and other creators, so that the overall ecology is enhanced by the positive contributions of users.
