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RE: Modeling information in an information rating system

in #hivemind3 years ago

It seems you're simultaneously arguing that a trust network is both an echo chamber AND a universal scoring system (ala Chinese social scoring). Those two terms describe radically different approaches to rating information, so it's beyond me how you can accuse a trust network like I'm describing of being both simultaneously. Anyways, I've addressed both of these characterizations in earlier comments, so I'll just refer you to my responses elsewhere.

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https://www.mylife.com How about US and Western social scoring?

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A decentralized social score is already used universally to check against people in many countries. Rating information no matter how decentralized you make it all gets collated into a centralized service eventually, or the product you are creating gets more centralized over time. Everything historically centralizes over time.

There's already websites and companies that already do this. The data is decentralized, in that they pull this data from many different sources and piece it together. It is then centralized. They rate you as a person, your income, your education, and many things.

Anyone who creates a scoring system is to be viewed with extreme suspicion, theres really no good reason to do this because it WILL be abused by people further down the road. I already gave you one example of MyLife, that is just in it's infancy stages and allows pretty much anyone to spy on anyone else for a nominal fee.

Just don't do it, let things be. By making more scoring things you will be feeding into things like this. Someone will take what you did and connect it with other things and centralize it, things will be done with that data that you couldn't possibly have predicted. Therefore it is better logically to just not do it at all, working to further make things anonymous however is a good endeavor.

There's no way to stop the aggregation of data used to rate people, in my opinion. What we can do is level the playing field somewhat on who owns the data (and hence decentralize the power it yields to its holders).

There is many different ways of stopping data aggregation.

Using a Steem/Hive model that rewards people for creating obfuscation and fake data in large quantities is one way. Provable fake data generation(think provable output, taking in real data and changing it just slightly to make it fake, and doing it 100s of times it is obfuscated), mass sign up of social media with garbage info, anonymizing everything, private and encrypted transactions/messaging/emails/everything, even making software for nodes that encrypt and anonymize traffic.

Depending on how far down you want to go into something like that, a lot can be done.