Developed Social Media Automation and AI News Aggregation
- Day: 2024-05-21
- Time: 15:05 to 17:35
- Project: Dev
- Workspace: WP 2: Operational
- Status: In Progress
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Social Media, Automation, AI, News Aggregation, Tweepy
Description
Session Goal
The session aimed to develop a content agenda and automation script for social networking, specifically for Twitter, and to explore AI-driven news aggregation and processing strategies.
Key Activities
- Developed a content agenda and script for automating tweets using Tweepy, focusing on enhancing Twitter networking through profile optimization and content scheduling.
- Planned the creation of a NoSQL database for collecting and structuring articles from major digital media in Argentina, with future integration of NLP and AI.
- Explored Google News functionalities for news aggregation, indexing, and personalization, with practical implementation examples in Python.
- Discussed leveraging Google News for AI-driven insights, focusing on applications for politicians, business professionals, and journalists.
- Investigated creative AI applications in journalism, including content generation and predictive analysis.
Achievements
- Established a detailed plan for social media automation using Tweepy scripts.
- Outlined strategies for AI-driven news aggregation and processing, including potential monetization strategies.
Pending Tasks
- Implement the NoSQL database for article collection in Argentina.
- Further develop AI applications for news processing and journalism.
Evidence
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- event_ids: []