Cluster 16ac793797b4... / semantic
Cluster of 2 comments
Representative
(unsigned) / Jul 25, 2016
Date range
Jul 25, 2016
Embedding model
databricks-bge-large-en
Similarity threshold
0.92
Investigative Campaign Dossier
Campaign Execution & Evolution Narrative
This cluster represents a simple copy-paste campaign. Filings are character-for-character identical, showing zero attempt to hide behind paraphrasing or synonym mutations. It was submitted at exactly 19:00 UTC, demonstrating a simple bulk automated API import routine.
Standard Copy-Paste Campaign
Simple coordinate wave submitted by a single bulk macro routine. Easily blocked by simple string hashes.
Evidentiary Blueprint: Template Mutation Highlights
Review the stacking of representative medoid template text against customized member edits. Notice how each member added custom sentences while preserving the core political template.
The representative template
“Payday, Vehicle Title, and Certain High-Cost Installment LoansYou state that Payday Loans use of ACH transaction cause issues therefore you wish to restrict short-term lenders use of ACH. If you really believe consumers are hurt by ACH transactions, then regulate Banks and Credit Unions. If you look at your own data, is not the Payday lender. In your data, it is clearly the fault of the consumer not managing their money. It comes from consumers spending at coffee shops, pizza shops, gas stations”
Preview truncated to ~500 characters per the export contract. Full text remains in silver.parsed_comments.
Likely Campaign Origin
Not yet analyzed. Run the AttributionAgent to scan curated seed sources for evidence matches against this cluster's template text. Results are reported as candidate sources with confidence labels - never as definitive accusations.
python scripts/run_attribution.py --docket-id 17-108 --mode offline_seed --max-clusters 5
Language Migration Check
Not yet analyzed. Run the MigrationAgent against a local final rule text fixture to look for language overlap between this cluster and the rule. The agent reports phrase-level overlap; it does not claim causal influence.
python scripts/run_migration.py --docket-id 17-108 --mode local_text --final-rule-text evals/fixtures/migration/fcc_17_108_final_rule_excerpt.txt --max-clusters 5
All Campaign Cluster Members
1 other comment in this cluster
Members
- Jul 25, 2016(unsigned)
“After reviewing your data and findings I do not see how a Payday Lender causes any more ACH issues to any consumer than any other vendor. Your own data clearly shows it can be a Cell phone company, cable company, Credit...”
CFPB-2016-0025-0010