The problem of generating headlines for documents using purely statistical approach has been long standing. We describe here an improved extractive approach based on keywords. The insight here is that if one tries to summarize a document, one will invariably use keywords from the document itself. There are two aspects to the problem namely, finding the relevant set of keywords and finding the p...

Abstract The World Meteorological Organization has developed a set of headline indicators for global climate monitoring. These seven are subset the existing essential variables (ECVs) established by Global Climate Observing System and intended to provide most parameters representing state system. include mean surface temperature, ocean heat content, acidification, glacier mass balance, Arctic A...

We present Emergent, a novel data-set derived from a digital journalism project for rumour debunking. The data-set contains 300 rumoured claims and 2,595 associated news articles, collected and labelled by journalists with an estimation of their veracity (true, false or unverified). Each associated article is summarized into a headline and labelled to indicate whether its stance is for, against...

The latest election cycle generated sobering examples of the threat that fake news poses to democracy. Primarily disseminated by hyper-partisan media outlets, fake news proved capable of becoming viral sensations that can dominate social media and influence elections. To address this problem, we begin with stance detection, which is a first step towards identifying fake news. The goal of this p...

We review methods and assess the policy influence of a series of publiclyfunded Cost of Illness studies, mostly published since 1990. Our analysis shows that headline cost estimates, including the influential paper by Collins and Lapsley (2008), depend on an incorrect procedure for incorporating real world imperfections in consumer information and rationality, producing a substantial over-estim...