Influencer Fake Engagement & Engagement Pod Detection Script
Expose fake influencer engagement and private comment pods. Audit exported social comments for bot entropy and repetitive spam.
Problem it addresses
Develop a pure Python influencer audit utility (pod_detector.py): 1) Ingests exported comment CSVs (Author, Text, Timestamp), 2) Calculates Lexical Diversity (Shannon Entropy) to spot repetitive canned phrases, 3) Detects comment timing bursts (50 comments in 2 minutes = pod coordination), 4) Outputs an authenticity score (0-100) and visual HTML diagnostic report.
Who it is for
PRO operating in high-growth e-commerce, digital publishing, and direct-response marketing across Saudi Arabia, UAE, and Egypt.
What is inside
Key files listed in the README repository architecture:
checklists/deliverable-qa-checklist.mdcontracts/influencer-usage-rights-addendum.mdexamples/fake_comments_sample.csvexamples/perfume-brand-brief-case.mdLICENSEREADME.mdreports/authenticity_audit_sample.htmlrubrics/influencer-vetting-scorecard.mdsrc/pod_detector.pytemplates/creator-creative-brief.mdtests/test_detector.pytests/test_pod_detector.py
How to evaluate and use it
- Read the README first and confirm that the documented problem matches your use case.
- Inspect the listed files to find the data, tools, templates, and tests relevant to your task.
- Follow the repository’s Quick Start and check prerequisites before running commands.
- Compare outputs with documented examples and review limitations before using them in a decision or client workflow.
Quick Start from the README: python -m unittest discover -s tests · python src/pod_detector.py --help
Scope and limitations
- Engagement Pod Detection: Flags repetitive, generic comments ('روعة', 'ما شاء الله', emoji strings) posted within minutes of publishing.
- Follower Spike Telemetry: Identifies unnatural overnight follower increases inconsistent with typical organic discovery curves.
- Audience Geography Audit: Measures percentage of followers located outside the target GCC/MENA market.
This page summarizes the available documentation; it does not establish performance or business results. Verify data and prerequisites before use.