Content analysis of news stories (whether manual or automatic) is a cornerstone of the communication studies field. However, much research is conducted at the level of individual news articles, despite the fact that news events (especially significant ones) are frequently presented as “stories” by news outlets: chains of connected articles covering the same event from different angles. These st...

This paper describes our participation in the TREC 2010 Blog Track. For the Top Stories Identification Task, we explore the relationship among news events, news stories and blog posts. We first extract important news events from the TRC2 corpus using a probabilistic mixture model. Then, we propose a probabilistic approach to identify top news stories. Furthermore, we use an additional feature t...

Most popular models of narratives and narrative analyses have been drawn on native stories, yet EFL learners’ narratives have not received due narrative analysis. The present study then aims at scrutinizing the structure of personal English stories as told by EFL learners. To this aim, three hundred narratives were collected through classroom discussions and interviews. Qualitative analysis met...

A project shared by humanities in medicine, bioethics, social scientific studies of medical practice, and related studies can be summarized by the following question: How can we reduce the gap between suffering caused by the body's deteriorations, whether the result of illness, disability, or aging, and the total suffering that attends these deteriorations? In approaching this question, a signi...

We present methods for finding same or almost same news stories in the hourly radio news broadcasts. Our procedures are able to detect reoccuring news stories of subsequent news broadcasts spoken by the same or different announcers only from the speech signal. They allow to establish a large database of repeated and professionally read speech at low costs that is especially interesting for pros...

Consumers of news care both about the novelty of the news they read, as well as how popular that news topic is with others. Editors choose what to report on based on consumer preferences and the coverage of their competitors. We build a continuous time model that predicts whether news providers invest in covering novel news stories or instead report on popular. We construct a dataset of cover s...

This paper argues for a robust notion of collective identity which is not reduced to a psychological conception of identity. In a first part the debate on the concept of identity raised by several authors is taken up critically with the intention to defend a strong sociological conception of identity which by definition is a collective identity. The basic assumption is that collective identitie...

This study examines the life stories of Hakka mothers by a systematic approach in a classroom. In order to grasp a vivid portrait of the so-called “Hakka Mother”, a series of courses that allow every student to revisit the life stories of mothers are proposed. This investigation explores the life stories in two different scopes: the food habit and dressing style. Throughout the dialogues among ...

The concept of an innovation space where different knowledge and perspectives can interact leading to innovation is central to lean thinking. The SECI framework of organizational knowledge creation identifies five enabling conditions which impinge on this space, namely intent, autonomy, fluctuation, redundancy and variety. User Stories, introduced in XP and now commonly used in Scrum, are a key...

Newspaper websites and news aggregators rank news stories by their newsworthiness in real-time for display to the user. Recent work has shown that news stories can be ranked automatically in a retrospective manner based upon related discussion within the blogosphere. However, it is as yet undetermined whether blogs are sufficiently fresh to rank stories in real-time. In this paper, we propose a...