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Duration 14 hours
Course Outline
Introduction to AI in the Journalistic Sphere
- The role of AI in the modern digital newsroom.
- An overview of generative AI and large language models.
- Exploration of use cases and international trends.
AI Tools for Journalistic Writing
- Generating headlines and adapting tone.
- Drafting articles and summarizing content with AI assistance.
- Prompt engineering techniques tailored for news content.
AI in Research, Fact-Checking, and Editorial Integrity
- Leveraging AI to verify facts and identify misinformation.
- Detecting bias and calibrating tone.
- Proposing improvements and maintaining stylistic consistency.
Automating Newsroom Workflows
- Automating transcription, subtitling, and translation processes.
- Tagging, enriching metadata, and clustering content.
- Implementing AI-driven news personalization and recommendation systems.
Ethical Considerations and Editorial Oversight
- Ensuring transparency, authorship, and human-in-the-loop protocols.
- Developing editorial policies for AI-generated content.
- Navigating regulatory frameworks and ensuring newsroom accountability.
Practical Lab: AI Content Generation Exercise
- Writing and refining sample articles using ChatGPT.
- Testing bias detection and editing tools.
- Evaluating the quality difference between human-written and AI-assisted content.
Strategizing AI Integration in Journalistic Workflows
- Designing hybrid pipelines that combine human and AI capabilities.
- Overseeing editorial review and compliance processes.
- Selecting tools, managing subscriptions, and planning implementation strategies.
Recap and Future Directions
Requirements
- Foundational knowledge of journalistic writing principles and editorial processes.
- Experience with standard digital publishing platforms.
- A general curiosity regarding AI-assisted tools and their ethical implications.
Target Audience
- Journalists and editors.
- Content strategists and newsroom leadership.
- Specialists in media innovation.