Syllabus: AI in Media & Journalism
Course Title: Artificial Intelligence in Media and Journalism
Course Duration: 1 Semester (16 Weeks)
Level Undergraduate/Graduate | Credits: 3
Format: 3 hours/week (2 hours lecture + 1 hour lab/practical)
Week 1-2: Introduction to AI in Media
- – What is AI? Core concepts: NLP, machine learning, generative AI
- – Evolution of journalism in the AI age
- – Real-world case studies (AP, Reuters, NYT)
- – Tools: ChatGPT, Gemini
- – Assignment: Blog post using AI vs human writing
Week 3-4: AI Content Creation Tools
- – Article generation, rewriting, SEO optimization
- – Tools: ChatGPT, Jasper, Copy.ai, Grammarly
- – Assignment: 3 news story types using AI (hard news, opinion, listicle)
Week 5-6: Synthetic Media and Deepfakes
- – Understanding deepfakes, ethical concerns
- – Tools: Synthesia, Rephrase.ai, Deepware
- – Assignment: Detect a deepfake and write a reflection
Week 7-8: Audio and Video Editing with AI
- – Podcast creation, automated captioning, transcription
- – Tools: Descript, Adobe Podcast Enhance, Auphonic, Runway
- – Assignment: Create a 3-min explainer video using text-to-video tools
Week 9-10: Data Journalism & NLP Tools
- – Data storytelling, NLP and sentiment analysis
- – Tools: Tableau, MonkeyLearn, Google NLP
- – Assignment: Visual report of public opinion on a current issue
Week 11-12: Visual Storytelling with Generative AI
- – DALL·E, Midjourney, Photoshop AI tools
- – Assignment: AI-generated visual storytelling post (e.g., Instagram carousel)
Week 13-14: AI in News Distribution & Personalization
- – AI-driven content recommendations, filter bubbles, echo chambers
- – Tools: Echobox, Taboola, Chartbeat
- – Assignment: Analyze a personalized news feed and assess bias
