Interactions-HSG/SOAP

SOAP - A Sockpuppet Auditing Tool for Very Large Online Platforms

35
/ 100
Emerging

This system helps researchers, regulators, and civil society actors understand how personalized recommender systems on very large online platforms (VLOPs) create 'filter bubbles' and amplify certain content. It takes a prompt defining a user persona and uses automated "sock-puppet" accounts to explore social media feeds, then analyzes the scraped content (text, image, audio) using AI. The output provides structured, empirical evidence of how platforms shape content exposure and contribute to issues like political radicalization or the spread of harmful content.

Use this if you need to systematically audit large online platforms for algorithmic biases, content amplification patterns, or the formation of filter bubbles in a regulatory-compliant manner.

Not ideal if you want to analyze private user data or conduct active, discursive interventions on social media platforms, as it is designed for publicly available data and passive observation.

platform-auditing social-media-research algorithmic-transparency regulatory-compliance content-moderation
No Package No Dependents
Maintenance 13 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 0 / 25

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Stars

20

Forks

Language

Python

License

Apache-2.0

Category

scraper

Last pushed

Mar 18, 2026

Commits (30d)

0

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