---
id: "lib-2026-09-30-breaking-news-out-of-the-filter-bubble-generative"
type: "library"
title: "Breaking News Out of the Filter Bubble: Generative AI Search Diversifies Collective Attention and Raises Shared Information Consumption"
lang: "EN"
org: "arXiv (Washington Post field experiment)"
source_type: "Paper"
date: "2026-09-30"
week: "2026-W40"
url: "https://nosov.ai/library/lib-2026-09-30-breaking-news-out-of-the-filter-bubble-generative/"
original_url: "https://arxiv.org/abs/2609.38946"
tags: ["ai technology", "business transformation", "field experiment", "media"]
---

# Breaking News Out of the Filter Bubble: Generative AI Search Diversifies Collective Attention and Raises Shared Information Consumption

## English summary

RCT with 37,561 WaPo readers: AI answers above results widen topic reach and overlap, shift clicks to cited articles and follow-up searches, small rise in articles per reader; counters filter-bubble claim.

Original: https://arxiv.org/abs/2609.38946