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Guiding the Way: A Comprehensive Examination of AI Guidelines in Global Media

M. F. de-Lima-Santos, W. N. Yeung, T. Dodds

TL;DR

The paper systematically analyzes 37 openly available AI guidelines from 17 countries to understand how global media institutions address responsible AI use in journalism. Using a convergent parallel mixed-method design with Latent Dirichlet Allocation topic modeling and thematic analysis, it identifies three core themes—ethical development, editorial values, and user protection—while highlighting persistent gaps in practicality, regional representation, and guidance for third-party AI tools. Framed by institutional theory and digital inequality, the study reveals Western dominance and isomorphism in guideline diffusion, raising concerns about global South inclusion and the need for region-specific adaptations. The findings offer a resource for newsrooms and policymakers to balance innovation with accountability, transparency, and journalistic integrity in a rapidly evolving AI landscape.

Abstract

With the increasing adoption of artificial intelligence (AI) technologies in the news industry, media organizations have begun publishing guidelines that aim to promote the responsible, ethical, and unbiased implementation of AI-based technologies. These guidelines are expected to serve journalists and media workers by establishing best practices and a framework that helps them navigate ever-evolving AI tools. Drawing on institutional theory and digital inequality concepts, this study analyzes 37 AI guidelines for media purposes in 17 countries. Our analysis reveals key thematic areas, such as transparency, accountability, fairness, privacy, and the preservation of journalistic values. Results highlight shared principles and best practices that emerge from these guidelines, including the importance of human oversight, explainability of AI systems, disclosure of automated content, and protection of user data. However, the geographical distribution of these guidelines, highlighting the dominance of Western nations, particularly North America and Europe, can further ongoing concerns about power asymmetries in AI adoption and consequently isomorphism outside these regions. Our results may serve as a resource for news organizations, policymakers, and stakeholders looking to navigate the complex AI development toward creating a more inclusive and equitable digital future for the media industry worldwide.

Guiding the Way: A Comprehensive Examination of AI Guidelines in Global Media

TL;DR

The paper systematically analyzes 37 openly available AI guidelines from 17 countries to understand how global media institutions address responsible AI use in journalism. Using a convergent parallel mixed-method design with Latent Dirichlet Allocation topic modeling and thematic analysis, it identifies three core themes—ethical development, editorial values, and user protection—while highlighting persistent gaps in practicality, regional representation, and guidance for third-party AI tools. Framed by institutional theory and digital inequality, the study reveals Western dominance and isomorphism in guideline diffusion, raising concerns about global South inclusion and the need for region-specific adaptations. The findings offer a resource for newsrooms and policymakers to balance innovation with accountability, transparency, and journalistic integrity in a rapidly evolving AI landscape.

Abstract

With the increasing adoption of artificial intelligence (AI) technologies in the news industry, media organizations have begun publishing guidelines that aim to promote the responsible, ethical, and unbiased implementation of AI-based technologies. These guidelines are expected to serve journalists and media workers by establishing best practices and a framework that helps them navigate ever-evolving AI tools. Drawing on institutional theory and digital inequality concepts, this study analyzes 37 AI guidelines for media purposes in 17 countries. Our analysis reveals key thematic areas, such as transparency, accountability, fairness, privacy, and the preservation of journalistic values. Results highlight shared principles and best practices that emerge from these guidelines, including the importance of human oversight, explainability of AI systems, disclosure of automated content, and protection of user data. However, the geographical distribution of these guidelines, highlighting the dominance of Western nations, particularly North America and Europe, can further ongoing concerns about power asymmetries in AI adoption and consequently isomorphism outside these regions. Our results may serve as a resource for news organizations, policymakers, and stakeholders looking to navigate the complex AI development toward creating a more inclusive and equitable digital future for the media industry worldwide.
Paper Structure (22 sections, 3 figures, 2 tables)

This paper contains 22 sections, 3 figures, 2 tables.

Table of Contents

  1. Introduction
  2. Theoretical Framework
  3. Digital Inequality and Divide: Navigating the AI Landscape in the Media Industry
  4. Unpacking Journalistic Norms and Guidelines: Insights into Institutionalization of Journalism in the Digital Age
  5. Data and Methods
  6. Data Collection and Sample
  7. Convergent Parallel Design
  8. Computational Approach: Topic Modeling with LDA
  9. Qualitative Approach
  10. Results
  11. A general overview of AI guidelines in media organizations
  12. Findings Derived from LDA
  13. Topic 1: Need for Guidelines to Ensure Ethical and Responsible AI Development
  14. Topic 2: Editorial values in place
  15. Topic 3: Users’ Protection
  16. ...and 7 more sections

Figures (3)

  • Figure 1: AI Guidelines Identified for Media Organizations Worldwide
  • Figure 2: Temporal journey of AI guidelines publications. Each dot on the graph represents the number of guidelines published in a specific month in these regions.
  • Figure 3: AI Guidelines by Topics