📅 2025-05-28 — Session: Temporal Distribution Analysis of News Articles
🕒 18:55–19:25
🏷️ Labels: News Analysis, Automation, Economic Coverage, HDBSCAN, Media Monitoring
📂 Project: Media
⭐ Priority: MEDIUM
Session Goal
The session aimed to analyze the temporal distribution of news articles to identify publication patterns and their implications for designing automated news monitoring systems.
Key Activities
- Explored weekly dynamics in news article publication, identifying patterns and signal decay.
- Requested datasets for clustering and monitoring system design using HDBSCAN.
- Analyzed economic news coverage patterns, focusing on temporal congestion and semantic redundancy.
- Examined narrative sedimentation in economic news cycles post-peak coverage.
- Proposed methods for automating narrative analysis in news on inflation and economy.
- Analyzed media saturation on political economy and recommended automation of reports and alerts.
- Investigated weekend news flow dynamics, suggesting clustering models for weekly digests.
- Analyzed information volume for dominant themes and data modeling recommendations.
- Designed a modular system for transforming news monitoring into effective editorial production with AI integration.
Achievements
- Identified key patterns in news publication and economic news cycles.
- Proposed automation frameworks for narrative analysis and editorial production.
Pending Tasks
- Confirmation and acquisition of datasets for clustering.
- Implementation of proposed automation systems.