Content pfp
Content
@
0 reply
0 recast
0 reaction

Varun Srinivasan pfp
Varun Srinivasan
@v
Spam filtering is coming to Warpcast. Over the last 3 months, we've labelled thousands of spammy accounts by hand and @akshaan has carefully trained an ML model to do this automatically. We're rolling out this model starting today, and it will significantly improve the user experience.
0 reply
122 recasts
883 reactions

Colin pfp
Colin
@colin
How will false positives be handled? Is there manual review in the loop at all (eg for appeals?) Can a spam-labelled account ever be labeled good in the future?
4 replies
1 recast
40 reactions

Linda Xie pfp
Linda Xie
@linda
+1, would also like to know this
2 replies
0 recast
13 reactions

Varun Srinivasan pfp
Varun Srinivasan
@v
the goal is to be like gmail, where the filtering works for 99.999% and you have the ability to turn off filtering to double check that nothing important was missed. we'll also periodically rescore accounts, so if there was a mis classification you can earn your way back out.
1 reply
0 recast
2 reactions

🍅 pfp
🍅
@tomato.eth
Will people have a way of knowing whether they've been labelled as a spam account? One of the most frustrating things about Twitter has been the uncertainty about when and why people are being shadowbanned. I hope we don't repeat that here.
1 reply
0 recast
0 reaction

Linda Xie pfp
Linda Xie
@linda
You should be able to tell by using other Farcaster clients and seeing which user posts are displayed across all or just some
1 reply
0 recast
1 reaction