From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Context
Jeremiah Milbauer, Ziqi Ding, Zhijin Wu, Tongshuang Wu

TL;DR
NEWSSENSE is a novel tool that enhances news reading by integrating cross-document evidence, allowing users to verify claims and explore multiple perspectives seamlessly within a unified interface.
Contribution
The paper introduces NEWSSENSE, a new sensemaking interface that links related news articles and highlights claim support or contradiction without relying on reference-based verification.
Findings
Users can verify claims across sources effectively.
NEWSSENSE helps identify credible information and perspectives.
The tool improves news comprehension and fact-checking.
Abstract
Reading and understanding the stories in the news is increasingly difficult. Reporting on stories evolves rapidly, politicized news venues offer different perspectives (and sometimes different facts), and misinformation is rampant. However, existing solutions merely aggregate an overwhelming amount of information from heterogenous sources, such as different news outlets, social media, and news bias rating agencies. We present NEWSSENSE, a novel sensemaking tool and reading interface designed to collect and integrate information from multiple news articles on a central topic, using a form of reference-free fact verification. NEWSSENSE augments a central, grounding article of the user's choice by linking it to related articles from different sources, providing inline highlights on how specific claims in the chosen article are either supported or contradicted by information from other…
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Taxonomy
TopicsTopic Modeling · Misinformation and Its Impacts · Software Engineering Research
