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Bot Detection.pdf

LB_5.pdf
Preview of Bot Detection
🔗 Source: sbp-brims.org
📊 Size: 257 KB
📄 Pages: 8 pages
⬇️ Downloads: 107

Summary

Researchers propose a tiered approach to detect and characterize automated activity on Twitter, introducing "bot-hunter", which utilizes supervised machine learning and event-oriented bot annotation to identify malicious bots, with four tiers of Twitter data collection and related machine learning features and models, and present preliminary results from a Tier 1 model and event-focused data annotation based on a reported bot attack against the Atlantic Council Digital Forensic Labs.

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Description

Researchers propose a tiered approach to detect and characterize automated activity on Twitter, introducing "bot-hunter", which utilizes supervised machine...

Technical Information

  • File Format: PDF
  • File Size: 257 KB
  • Pages: 8
  • Language: EN
  • Total Downloads: 107
  • Last Updated: 6 days ago

Document Overview

This PDF document about Bot Detection provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Bot Detection.

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