Spam Fighting @Scale Recap

What this post added

This post details discussions and technical approaches shared at the Spam Fighting @Scale conference, focusing on techniques for fighting spam and abusive content at scale. Key technical contributions include: the application of event-based processing and aggregation techniques (counter-based and cluster-based) for spam detection; the use of Haxl for simplified data fetching in Haskell; graph-based modeling for representing threat intelligence in ThreatExchange; and strategies for fighting spam in small-text fields using name and headline scoring models, and account clustering. The post also emphasizes the importance of product changes over classifiers and understanding the economics of spam.