T hree months after the attacks of September 11, 2001, the New York Times asked, “Is the Devil in the Demographics?” (Sciolino, 2001). The article examined the vulnerability of large cohorts of unemployed youth to extremist ideology and political recruitment, and speculated about the hazards created by future youth cohorts in the Middle East. In the post-9/11 era, however, there has been very l...

Describing the nature of the trade-off between inflation and output or unemployment has long been difficult and controversial. The Friedman-Phelps hypothesis, that there is no long-run Phillips curve trade-off between inflation and unemployment, has clearly won over most macro-. economists, but the debate has continued over what, if any, trade-off remains. The subtle notion that an uncertain sh...

In a recent editorial in the New York Times, David Brooks lamented the growing inability of states to address the world’s problems effectively: “The dispersion of power…means that more groups have effective veto power over collective action. In practice, this new pluralistic world has given rise to globosclerosis, an inability to solve problem after problem” (Brooks 2008). Pundits, policymakers...

A B S T R AC T This study explores the societal expectations surrounding women's absenteeism from work by means of a content analysis of newspaper articles that have appeared in the New York Times over the last 100 years. The results suggest that a distinct absence culture exists for women that might legitimize their absenteeism, but might also perpetuate gender stereotypes and lead to gender d...

Computing the temporal structure of narratives is an important milestone in understanding stories and discourses. We propose structured representations for events based on their algebraic properties. We use these representations along with the situation type and aspect of the predicates involved to give detailed semantic postulates for various temporal connectives. These postulates|more detaile...

Online social media influence the flow of news and other information, potentially altering collective social action while generating a large volume of data useful to researchers. Mapping these networks may make it possible to predict the course of social and political movements, technology adoption, and economic behavior. Here we map the network formed by Twitter users sharing British Broadcast...

When dealing with large collections of documents, it is imperative to quickly get an overview of the texts’ contents. In this paper we show how this can be achieved by using a clustering algorithm to identify topics in the dataset and then selecting and visualizing relevant words, which distinguish a group of documents from the rest of the texts, to summarize the contents of the documents belon...

Employing the machine learning method, this study analyzes 6,504 articles from four major newspapers, New York Times, Washington Post, USA Today, and The Guardian, to examine how media cover the topic about causes of autism. A total of 14,305 causal sentences on the topic are extracted from media articles and subjected to analysis of causal entities and descriptions. Results show media have pre...

The importance of the media for individual and market behavior cannot be overstated. For example, a front-page article in the New York Times that mostly reprints information from six months prior can cause a company’s stock price to jump by over 300%. To better understand the channels through which the media affects markets and the resulting implications for news production, we study how indivi...

C negative information about a product increase sales, and if so, when? Although popular wisdom suggests that “any publicity is good publicity,” prior research has demonstrated only downsides to negative press. Negative reviews or word of mouth, for example, have been found to hurt product evaluation and sales. Using a combination of econometric analysis and experimental methods, we unify these...