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Course Outline
Introduction to AI in Journalism
- AI within the digital newsroom
- Overview of generative AI and large language models
- Use cases and global trends
AI Tools for Journalistic Writing
- Headline generation and tone adaptation
- AI-assisted article drafting and summarization
- Prompt engineering techniques for news content
AI in Research, Fact-Checking, and Editorial Quality
- Using AI to validate facts and detect misinformation
- Bias detection and tone calibration
- Suggesting improvements and ensuring style consistency
Automation in Newsroom Workflows
- Transcription, subtitling, and translation automation
- Tagging, metadata enrichment, and content clustering
- AI-powered news personalization and recommendation systems
Ethical Considerations and Editorial Oversight
- Transparency, authorship, and human-in-the-loop practices
- Editorial policies for AI-generated content
- Regulatory frameworks and newsroom accountability
Hands-on Lab: AI Content Generation Practice
- Writing and refining sample articles using ChatGPT
- Experimenting with bias detection and editing tools
- Comparing human-written vs AI-assisted content quality
Planning AI Integration in Journalistic Workflows
- Designing hybrid human-AI content pipelines
- Managing editorial review and compliance
- Tools, subscriptions, and implementation strategies
Summary and Next Steps
Requirements
- Fundamental knowledge of journalistic writing and editorial processes
- Familiarity with standard digital publishing platforms
- General interest in AI-assisted tools and their ethical application
Target Audience
- Journalists and editors
- Content strategists and newsroom managers
- Media innovation specialists
14 Hours
