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        <title>Sebasky</title>
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        <description>Blockchain dev and piano improvisations.
Current project: Music Patronage System.
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            <title><![CDATA[Anon Counter: Private Bot Protection for Social Media]]></title>
            <link>https://paragraph.com/@sebasky/anon-counter-private-bot-protection-for-social-media</link>
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            <pubDate>Wed, 02 Jul 2025 23:02:52 GMT</pubDate>
            <description><![CDATA[Could social media be protected from flood of artificial identities and give users anonymity on the same time? Sure, but we need special protocol for it.Universal Anon CounterProtocol need to be independent of specific provider. It could be achieved by pure mathematical approach: creating proof for pair - identity, service. So when website want to serve only real people, data from provider and service is combined and person generate ZK proof by running algorithms on local machine But Proof of...]]></description>
            <content:encoded><![CDATA[<p>Could social media be protected from flood of artificial identities and give users anonymity on the same time? Sure, but we need special protocol for it.</p><h1 id="h-universal-anon-counter" class="text-4xl font-header !mt-8 !mb-4 first:!mt-0 first:!mb-0">Universal Anon Counter</h1><p>Protocol need to be independent of specific provider. It could be achieved by pure mathematical approach: creating proof for pair - identity, service. So when website want to serve only real people, data from provider and service is combined and person generate ZK proof by running algorithms on local machine</p><p>But Proof of Personhood is not enough. We could extend it with additional information: How many identities anon has in this platform. Because every comment and post should not be connected to one profile.</p><p>Social media can restrict and display how many identities anon&apos;s source generated (without knowing who it is). For example: somebody who has 420 identities seems a little sus. But 2 or 3 - not that crazy.</p><h1 id="h-pool-of-identity-providers" class="text-4xl font-header !mt-8 !mb-4 first:!mt-0 first:!mb-0">Pool of Identity Providers</h1><p>To increase freedom and security for users platforms could accept many identity providers. But it creates problem: &quot;How to make sure that identity from second provider looks the same?&quot;.</p><p>Most straightforward solution: let identity integrity be created from hash of unique information that is same for every provider.</p><p>More complex: user create ZK proof that his identity was used only in one provider for specific website. But this also needs some way to share identity between different providers.</p><h1 id="h-using-counter-for-voting" class="text-4xl font-header !mt-8 !mb-4 first:!mt-0 first:!mb-0">Using Counter for Voting</h1><p>Another layer can be added - identity, service, proposal. By restricting counter to one, every vote would be disconnected from others.</p><p>Other way: recursion. A pair of anon and proposal generate anon². Quantity of possible anons is restricted for users to amount of proposals. Then user generate ZK proof that none of his identity voted in specific proposal before.</p><h2 id="h-future-of-anon-counter" class="text-3xl font-header !mt-8 !mb-4 first:!mt-0 first:!mb-0">Future of Anon Counter</h2><p>I don&apos;t have any experience with ZK proofs and my understanding of this tech just started to emerge. Not to mention socioeconomic status to build something like that for public... But this stuff is interesting, so when I will have more time, I will experiment with Anon Counting on generic level.</p><p>And hopefully tech will mature and goes from math and academicism into high-level tools - easy to jump python libraries that allow everybody to build castles in sandpits.</p>]]></content:encoded>
            <author>sebasky@newsletter.paragraph.com (Sebasky)</author>
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