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Influence Campaign Detection.pdf

1908.11030.pdf
Preview of Influence Campaign Detection
🔗 Source: arxiv.org
📊 Size: 133 KB
📄 Pages: 6 pages
⬇️ Downloads: 244

Summary

Researchers demonstrate that text features from user comments can identify suspect online influence campaign activity, but may lead to false positives when keywords from past campaigns are present. Using "named entity masking" (NEM) reduces false positives, but both masked and unmasked models show increased false positive rates for English sentences written by Russian native speakers, raising ethical concerns about algorithmic bias and automated speech suppression.

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Description

Researchers demonstrate that text features from user comments can identify suspect online influence campaign activity, but may lead to false positives when...

Technical Information

  • File Format: PDF
  • File Size: 133 KB
  • Pages: 6
  • Language: EN
  • Total Downloads: 244
  • Last Updated: 3 hours ago

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

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