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Our news are saturated with claims of " facts " made from data. Database research has in the past focused on how to answer queries, but has not devoted much attention to discerning more subtle qualities of the resulting claims, e.g., is a claim " cherry-picking " ? This paper proposes a framework that models claims based on struc-tured data as parameterized(More)
Towards computational journalism, we present FactWatcher, a system that helps journalists identify data-backed, attention-seizing facts which serve as leads to news stories. FactWatcher discovers three types of facts, including situational facts, one-of-the-few facts, and prominent streaks, through a unified suite of data model, algorithm framework, and(More)
BACKGROUND Adherence to disease-modifying therapies (DMTs) results in the reduction of the number and severity of relapses and delays the progression of multiple sclerosis (MS). Patients with lower adherence rates experience more inpatient visits and higher MS-related medical costs. Fingolimod, the first oral DMT approved by the US Food and Drug(More)
The most effective way to explore data is through visualizing the results of exploration queries. For example, an exploration query could be an aggregate of some measures over time intervals, and a pattern or abnormality can be discovered through a time series plot of the query results. In this paper, we examine a special kind of exploration query, namely(More)
Are you fed up with "lies, d---ned lies, and statistics" made up from data in our media? For claims based on structured data, we present a system to automatically assess the quality of claims (beyond their correctness) and counter misleading claims that cherry-pick data to advance their conclusions. The key insight is to model such claims as parameterized(More)