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Characterizing Anonymous Social Media Content.pdf

14635-28-18153-1-2-20201228.pdf
Preview of Characterizing Anonymous Social Media Content
🔗 Source: cdn.aaai.org
📊 Size: 1003 KB
👤 Author: Denzil Correa, Leandro Araujo Silva, Mainack Mondal, Fabricio Benevenuto and Krishna P. Gummadi
⬇️ Downloads: 38

Summary

- Purpose: Study anonymous social media content, focusing on Whisper and Twitter.
- Goals: Understand content nature and sensitivity, compare with non-anonymous sites, investigate user demographics' impact, and identify linguistic differences.
- Methodology: Gather and analyze content traces from Whisper and Twitter, introduce 'anonymity sensitivity' measure, and use human annotators for assessment.
- Findings:
- Whispers exhibit 'many shades' of anonymity, unlike tweets.
- Whispers often involve public confessions and personal, social, informal language.
- Older, more educated users prefer higher anonymity.
- Machine learning can distinguish whispers from tweets based on linguistic features.
- Implications: Inform the design of anonymous social media systems lacking user identity.

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Description

Study explores content nature and differences on anonymous (Whisper) vs non-anonymous (Twitter) social media.

Technical Information

  • File Format: PDF
  • File Size: 1003 KB
  • Pages: 10
  • Language: EN
  • Author: Denzil Correa, Leandro Araujo Silva, Mainack Mondal, Fabricio Benevenuto and Krishna P. Gummadi
  • Total Downloads: 38
  • Last Updated: 1 week ago

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This PDF document about Characterizing Anonymous Social Media Content provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Characterizing Anonymous Social Media Content.

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