CASE STUDY: DECENTRALIZED PEERING

group load balancing - schedule event

decentralized coordination - user privacy

peer to peer - group security - encryption

platform interoperability - API backend

group load balancing - schedule event

  • describe how organized scheduled professional meme teams work.

  • breakdown to a reach value KPI

  • content campaign scheduling coordinated by algorithm amplification + boost peering

decentralized coordination - user privacy

  • decentralization versus centralization insofar as how it benefits citizen vs the authoritarian perspectives

  • legitimacy in a world of mostly strangers - slowbuild confederacies versus fastgrown rabbles

  • non-conspiracy - worst instincts against best interests (algorithm, path of least resistance, convenience)

  • old offline trust networks - family, friends, leaders, in-group, propaganda, real crowd, superego mob

  • bad online trust networks - badges, blue checks, mouthpiecing

  • decentralized, democratized, uncorruptable, bot-resistant transparent blockchain: rabbl3chain rabbl3coin

peer to peer - group security - encryption

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  • decentralized, democratized, uncorruptable, bot-resistant transparent blockchain: rabbl3chain rabbl3coin

platform interoperability - API backend

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