Three major detection methods were outlined:
Graph-based: Bots cluster with each other.
Crowd-sourced: Let users flag bots in real time.
Feature-based ML: Measure 1,150 account features (BotOrNot).
BotOrNot became Botometer, now used by researchers worldwide.