What This Shows: An analysis of how arguments about AI are constructed across the corpus. Articles are classified by claim type (empirical, normative, pragmatic), reasoning approach (deductive, inductive, analogical), rhetorical strategy, and tone.
Why It Matters: Understanding argument structure reveals how different sources and categories frame their discussions of AI. This helps identify persuasion patterns, evidence standards, and rhetorical preferences across higher education, social aspects, and AI literacy contexts.
How to Interpret: Each chart shows the distribution of a different argument dimension. Filter by category (HE/SA/AIL/AIT) to compare how arguments differ across contexts. Click articles in the side panel to read the original source and see the extracted main claim.
How arguments about AI are constructed across 6660 articles