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Course Outline
Introduction to AI in Journalism
- AI and 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 understanding of journalistic writing and editorial workflows.
- Familiarity with standard digital publishing platforms.
- General interest in AI-assisted tools and their ethical application.
Audience
- Journalists and editors.
- Content strategists and newsroom managers.
- Media innovation specialists.
14 Hours