Critical Media Analysis Project (CMAP)

This assignment, by Whitney Gegg-Harrison, is from the TextGenEd: Continuing Experiments collection on the WAC Clearinghouse website.

The summary from the site explains:

This assignment asks undergraduate students to critically annotate an existing popular media item using Kapoor & Narayanan’s “18 Pitfalls” framework. This framework helps students to reflect critically on media hype relating to AI, and gives them language to assist them in identifying, labeling, and explaining examples of hype to potential readers. In creating their annotated articles, students gain practice applying their critical AI and media literacy skills, which are skills they can apply to their own lives as they engage with media about generative AI and strive to be thoughtful, critical users (or not) of generative AI products.

Key Features of This Assignment

Analyzing AI-Generated Media
Students examine AI-created content for bias, accuracy, and rhetorical influence, fostering critical media literacy.
Ethical Implications of AI Writing
Students explore questions of authorship, misinformation, and responsible AI use, reflecting on the ethical dimensions of AI-assisted writing.
Developing Critical Thinking Skills
Students question and evaluate digital texts with a critical perspective as they consider how AI can be used as a tool for inquiry.