Data

A good illustration of why the problem of filtering out "spam" is challenging.

Most of these accounts are not spam. They are uninteresting to this particular person. One person's spam is another person's friend. It's a relative definition.

If you don’t follow these users, even with the power badge, low likelihood you’ll see them. 

And if they are really offensive, just mute.

I don't know anyone's FIDs so I made a quick spreadsheet with the OpenRank and Airstack Data I had from early June so I could see who these accounts were. While I don't like any of my friends being called spammers, it was an interesting look at what different people consider "spammy" vs what I consider spam.  If anyone has updated OpenRank data or Airstack data in a spreadsheet, I'd love a copy.  I'm learning a lot about Farcaster looking at this data.

I don't know anyone's FIDs so I made a quick spreadsheet with the OpenRank and Airstack Data I had from early June so I could see who these accounts were. While I don't like any of my friends being called spammers, it was an interesting look at what different people consider "spammy" vs what I consider spam.  If anyone has updated OpenRank data or Airstack data in a spreadsheet, I'd love a copy.  I'm learning a lot about Farcaster looking at this data.

https://docs.google.com/spreadsheets/d/15a4C0ONnH4std9CVMTPeiKMv3kN3vKnHju0kkax9u6c/edit?usp=sharing

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@degenpad is doing amazing work. Not only did they help @checkin raise via ITO but now they are supporting @degentip , both are amazing projects. No way would I ever label them spammers.