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RE: How-to solve SPAM and Democratize Steem: Introducing UserAuthority

in #utopian-io7 years ago

May I add a simple suggestion for a bot. First of all I'm not a programmer. Just a smart guy who love steemit.

You could use a bot to check for repeated comments of a user. Lot's of spammers copy/paste their spam. There are also words like upvote,plz,follow used repeatedly. If a bot could be made no find users with high amount of copy/paste content and for common words used in upvote begging, It could generate a list for whales to review. Then those who are clearly spamming could be picked and put on a public list.

I'm very happy to see many people fighting the good fight. You guys give me hope regarding the future of steemit. My simple suggestion wouldn't go too far. Spammers will adopt. I actually came across serial spammers with reputation above 50. It's just nuts: https://steemit.com/steemit/@vimukthi/serial-spaming-your-way-into-a-reputation-of-56-how-did-this-happen

Wish you guys best of luck and hope my suggestion helped :-)
@vimukthi

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Hi @vimukthi , your suggestion on how to algorithmically detect spam / repeated comments (= content analysis), could be another extension of my UserAuthority (UA) spam identification capabilities (= user authority / popularity analysis).

Your suggestion could also be implemented stand-alone via bi-directional hashing encryption, by calculating "character proximity". Lots of difficult words here ;-), but your solution on its own is not really needed. Compare this principle to copy-pasta webpages: it is impossible to stop authors publishing such webpages, but it's Google's only task to prevent those pages getting to the top of the search rankings (SERPs).

Seen from a Steem ecosystem perspective, it's merely important to stop those comments from receiving high-value author rewards. Hence the need for my UA algo to be implemented Steem-wide (See my HF22 proposal UA * SP at the bottom of my article.)

Mathematically, it looks like your UA algo will work just fine :)

Some folks may not like it, but as with all algos there's always room for improvement!

BTW: here's a link to an article on "bot tells"
https://steemit.com/steemit/@torquewrench1969/tips-i-use-to-identify-bot-accounts

Spot on! ;-)

Another post comming out about this project shortly!