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‘Anti-scale’ and how to save journalism in an automated world
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The rise of artificial intelligence in journalism has sparked urgent questions about the industry’s future direction and its relationship with technology.

Current state of journalism: Trust in news media has hit concerning lows, with only 32% of Americans believing journalism provides fair and accurate reporting.

  • Traditional metrics of industry health, including journalist employment and local news coverage, have declined significantly over two decades
  • News organizations have repeatedly sought technological solutions to their digital challenges
  • The current focus on generative AI represents the latest attempt to find a technological fix

AI’s limitations in journalism: Large Language Models (LLMs) like ChatGPT present fundamental problems for news organizations, despite claims about their potential to automate content creation.

  • LLMs are prone to “hallucination,” generating plausible but potentially false information
  • Recent surveys show 80% of Americans express concern about news organizations using AI
  • The majority of Americans oppose AI use in newsrooms except for language translation

The scale problem: The journalism industry’s pursuit of scale-driven strategies has proven increasingly problematic in the digital age.

  • AI-generated content can be produced at minimal cost (approximately $0.002 per 1,000 words)
  • The flood of AI-generated content threatens to overwhelm legitimate journalism
  • Traditional scale-based approaches to news distribution are becoming unsustainable

The anti-scale alternative: A new approach focused on human connection and community engagement offers a potential path forward.

  • Emphasis on “Actual Experience” (AE) involving direct human interaction and observation
  • Focus on building trust through relationships rather than automated content generation
  • Development of tools that help journalists foster digital communities across fragmented platforms

Technical challenges ahead: The transition to an anti-scale approach requires rethinking fundamental aspects of digital journalism.

  • Need for new metrics beyond traditional pageviews and click rates
  • Development of products that clearly differentiate human-created journalism from AI content
  • Tools to help journalists navigate and build communities across diverse digital platforms

Looking forward: The anti-scale movement represents a potential paradigm shift in how journalism approaches technology and audience engagement, though significant questions remain about implementation and measurement of success in this new model.

Anti-scale: a response to AI in journalism

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