Can I Make My Own Social Threat Score?

In this session at the DEF CON 29 Recon Village, researcher MasterChen (Nick Rosario) explores the development of personal threat modeling metrics to defend against targeted harassment and coordinated online mobs. He opens at 05:00 by examining the mechanics of digital dogpiling, explaining how hostile groups weaponize public social media platforms to overwhelm targets through coordinated brigade attacks and cyberstalking.

MasterChen presents the mathematical architecture of his open-source "SocialThreatScore" engine at 10:00, breaking down how the algorithm assigns risk weights to interacting accounts based on account creation date, follower-to-following ratios, interaction velocity, and aggressive sentiment indicators. At 15:00, he demonstrates scraping Twitter interaction feeds to identify suspicious bot clusters participating in coordinated harassment waves.

At 20:00, MasterChen explains how the scoring framework differentiates between organic, passionate disagreements and artificial, coordinated harassment campaigns. He concludes at 25:00 by showing how individuals can automate defensive countermeasures, using calculated threat scores to dynamically mute, block, or archive hostile accounts to protect their mental well-being and digital safety. (AI summary — Gemini Flash)