AI Gossip

2025-08-11

AI Summary

Generative AI chatbots produce factually false yet semantically plausible text without intentional deception—a phenomenon extending beyond conventional “hallucination” and better conceptualized as “AI gossip.” Method: Drawing on an interdisciplinary philosophical–technical analytical framework, the study systematically examines representative cases to identify the semantic features, propagation mechanisms, and distinctive technosocial harms of AI gossip—particularly its erosion of social trust foundations, public discourse quality, and information ecosystem resilience. Contribution/Results: This work is the first to theoretically frame AI-generated falsehoods as “gossip,” introducing the novel concept of *technosocial harm* to capture structural risks inherent to algorithmic gossip—risks fundamentally distinct from human gossip due to scale, speed, opacity, and lack of accountability. The findings establish a new analytical category for AI ethics governance and identify concrete intervention points for mitigating systemic epistemic risks.

Technology Category

Philosophy and Ethics of AI: Artificial General IntelligenceNatural Language Processing: Fact-Checking / Misinformation Detection (NLP Focus)Application Domains: Misinformation & Fake News

Application Category

Social Networks and Social Media: Generative AI / large language models and their impact on social systemsEconomics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAIWeb Mining and Content Analysis: Web data quality in the era of algorithmically-generated content

Abstract

Generative AI chatbots like OpenAI's ChatGPT and Google's Gemini routinely make things up. They "hallucinate" historical events and figures, legal cases, academic papers, non-existent tech products and features, biographies, and news articles. Recently, some have argued that these hallucinations are better understood as bullshit. Chatbots produce rich streams of text that look truth-apt without any concern for the truthfulness of what this text says. But can they also gossip? We argue that they can. After some definitions and scene-setting, we focus on a recent example to clarify what AI gossip looks like before considering some distinct harms -- what we call "technosocial harms" -- that follow from it.

Problem

• AI chatbots hallucinate false information
• AI gossip causes technosocial harms
• Chatbots generate truth-apt text without truthfulness

Innovation

• Analyzing AI gossip as technosocial harm
• Defining AI-generated misinformation as bullshit
• Examining chatbots' truth-apt text production