A Dual Monitoring Framework

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Authors: Lee Daehee
Cited by: 0

Abstract

Please read the readme.txt file. Computing environment OS: Windows 11 Web stack: Apache 2.4.58 / PHP 8.2.12 Database: MariaDB 10.4.32 Scripting: Python 3 (auxiliary scripts) Logging: all responses were written to the database immediately after collection. Target LLMs (five providers) OpenAI: gpt-5 xAI: grok-4 Anthropic: claude-sonnet-4-5 Google: gemini-2.5-flash NAVER: HCX-005 Profanity prevention baseline API Service: Profanity Filter API Data collection window and consistency control Collection period: 2026-01-11 to 2026-02-15 All target models were evaluated using the same fixed prompt set within the same period to ensure comparability. Rate-limit and retry policy Minimum inter-request delay per model: 120 seconds Retry policy: up to 5 retries when transient errors or refusal/failed responses occurred, to minimize missing records caused by rate limits or temporary provider issues.

Fields of Study & Subjects

Hate Speech and Cyberbullying Detection Ethics and Social Impacts of AI Topic Modeling

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 March 2026
Language
EN
Document type
Dataset