Prompt Engineering for Communication Studies
LLMs are changing how organizations listen to audiences, craft messages, and measure impact. A communications background — audience, rhetoric, critical media analysis — is exactly what makes the resulting AI tools better (and less harmful).
Where this is showing up in Communication Studies
- Brandwatch, Talkwalker, and Meltwater now run LLM-based analysis over millions of posts, articles, and broadcasts for PR, campaigns, and brand teams.
- The Washington Post is shipping LLM-powered reader tools like Ask The Post AI, Climate Answers, and Haystacker, while OpenAI has struck content licensing deals with the AP, WaPo, Hearst, Condé Nast, and Time.
- Legal and ethical battles are actively shaping the field — the NYT v. OpenAI copyright suit, Authors Guild cases, and the FTC's inquiries into AI-generated content.
- NewsGuard and the Poynter-affiliated MediaWise track AI-generated misinformation; the Stanford AI Index, Pew Research Center, and the Oxford Reuters Institute publish annual reports on AI in media that shape industry strategy.
Projects you could build in this course
- A tool that analyzes news coverage of an issue across outlets and surfaces framing patterns
- An advocacy assistant that drafts op-eds, talking points, or letters-to-editor in a specific voice
- A RAG system over a campaign, brand, or organization's past messaging for consistent content