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NewsUnfold Scores High on Ease of Use as Testers Call for Smoother Feedback Flow
Early testers described NewsUnfold as intuitive, innovative, and effective at encouraging deeper reading. Users praised the highli...
Inside the Research Project Examining Hidden Bias in News Coverage
A research group is conducting an anonymous survey to understand how readers perceive subtle linguistic bias in news articles. Par...
Why Binary Feedback May Be Enough to Train Better Media-Bias Classifiers
The article evaluates NewsUnfold, a human-in-the-loop news reader that collects user feedback to detect media bias. Findings show...
User Feedback Boosts Media-Bias Dataset Accuracy in NewsUnfold Evaluation
NewsUnfold’s user study shows strong engagement, high-quality bias annotations, and a 26% improvement in inter-annotator agreement...
NewsUnfold Tests a Crowdsourced Approach to Detecting Media Bias
NewsUnfold introduces a reader-driven platform that highlights potentially biased sentences, gathers user feedback, evaluates data...
Color-Coded Bias Warnings Boost Accuracy and Efficiency in AI Feedback
A controlled study with 240 participants compares three feedback mechanisms for AI-driven media-bias detection. Color-highlighted...
Human-in-the-Loop Models Could Improve Media Bias Detection, Study Finds
The article reviews research on media bias, highlighting how subjective annotations, limited datasets, and unreliable NLP models h...
Can User Feedback Fix Slanted News? Researchers Think So
NewsUnfold introduces the first human-in-the-loop system for media-bias detection, showing that reader feedback significantly impr...
