Machine Learning Reshapes Information Ecology and Trust
The piece argues that machine learning shifts the cost balance for writing, distributing, and reading text and other media, dramatically increasing content production and altering incentives in the information ecosystem. It also highlights that aggressive ML crawlers place high load on content sources, changing data access dynamics and the economics of publishing and moderation.
Scoring Rationale
The analysis highlights consequential shifts in data collection, moderation, and publishing economics that practitioners must address; it is influential but not a technical breakthrough.
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