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

Pi-chi.eth (she/her) Artist /animeoutcasts
Purple Promoter| Hosting: /moxietools /kyoto /momiji  /anime-manga /farcasterunion

https://beacons.ai/pi_chi

Well now I feel special. It's a strange old world waking up to a personal spam definition wrapped in a data driven wrapping.

Also question on addresses in the sheet. Not sure where the one associated with me resides but it's not a connected toast wallet.