Current summarization systems only produce plain, factual headlines, but do not meet the practical needs of creating memorable titles to increase exposure. We propose a new task, Stylistic Headline Generation (SHG), to enrich the headlines with three style options (humor, romance and clickbait), in order to attract more readers. With no style-specific article-headline pair (only a standard headline summarization dataset and mono-style corpora), our method TitleStylist generates style-specific headlines by combining the summarization and reconstruction tasks into a multitasking framework. We also introduced a novel parameter sharing scheme to further disentangle the style from the text. Through both automatic and human evaluation, we demonstrate that TitleStylist can generate relevant, fluent headlines with three target styles: humor, romance, and clickbait. The attraction score of our model generated headlines surpasses that of the state-ofthe-art summarization model by 9.68%, and even outperforms human-written references. 1

No abstract

The MIT Media Lab City Science Group reshapes and reevaluates well-being as an emerging key indicator due the social challenges that cities are facing, such as inequality, police violence, and breaches to safety and security. Well-being in urban environments has been studied extensively, yet most research focuses on one aspect of well-being rather than multiple dimensions of well-being. Existing well-being indices that are used to compare well-being between different countries or to set a standards for well-being consider a variety of aspects that affect well-being, yet they are not specific to urban environments. When considering that no holistic and comprehensive research has been specifically conducted on well-being in urban environments, we research the relationship between the built features of an urban environment and well-being. In this paper, we propose a Well-Being Index composed of five urban indicators—Community Connectedness, Safety & Security, Physical Health, Mental Health, and Diversity—which are each described by a set of urban attributes that enhance well-being. Each attribute is quantified using a calculation formula. In addition to quantifying well-being, the Well-Being Index emphasizes specific urban features that urban planners should consider for future decision-making. We apply the Well-Being Index to predict well-being in Boston, Massachusetts, and Kansas City, Missouri, and we speculate that Boston has higher levels of well-being in terms of the city’s urban features. Based on our results, we provide suggestions for future choices in urban planning and design to improve the areas of well-being that we were able to identify with the Well-Being Index. We emphasize that the Well-Being Index can be applied to any city in the world, and can inform future decision-making for building urban environments through the CityScope platform; a novel methodology of interaction and collaboration by using a data-driven platform that simulates the impacts of interventions on urban ecosystems prior to detail-design and execution.

No abstract

No abstract