Electronic publishing makes it possible to reach every corner of the world and opens up new research and communication paths. In this article we describe the production model and implementation of an electronic news service for a DL, that manages altogether five different DL-newsletters plus a monthly journal, each one of them delivered in several optional output formats, and all managed and pr...

We are presenting a working system for automated news analysis that ingests an average total of 7600 news articles per day in five languages. For each language, the system detects the major news stories of the day using a group-average unsupervised agglomerative clustering process. It also tracks, for each cluster, related groups of articles published over the previous seven days, using a cosin...

Celebrity Watch is an automatically-generated website that presents up-to-date entertainment news from around the world. It demonstrates the application of many pattern analysis methods that allow us to autonomously monitor millions of news articles and hundreds of millions of references to people mentioned in them. We apply statistical methods to merge references into people, track their assoc...

In this paper we present a recommender system, What To Write and Why (W 3), capable of suggesting to a journalist, for a given event, the aspects still uncovered in news articles on which the readers focus their interest. The basic idea is to characterize an event according to the echo it receives in online news sources and associate it with the corresponding readers’ communicative and informat...

In this paper we introduce the project of our PhD thesis. The subject is a model for news articles filtering. We propose a framework combining information about named entities extracted from news articles with article texts. Named entities are enriched with additional attributes crawled from semantic web resources. These properties are then used to enhance the filtering results. We described va...

The Internet plays a major role as a source of news. Many publishers offer online versions of their newspapers to paying customers. Online newspapers bear more similarity with traditional print papers than with regular news sites. In a close collaboration with Mediengruppe Madsack publisher of newspapers in several German federal states, we aim at providing a semantically enriched online newspa...

Scholars have argued that online social networks and personalized web search increase ideological segregation. We investigate the impact of these potentially polarizing channels on news consumption by examining web browsing histories for 50,000 U.S.-located users who regularly read online news. We find that individuals indeed exhibit substantially higher segregation when reading articles shared...

News reading has changed from the traditional model of hardcopy newspapers to online news access. Thousands of news sources are available on internet each having millions of articles to choose from, leaving users tangled to find out a relevant article that matches their interests and liking. Recommender Systems can be used as a solution to this information overload problem by identifying the in...

As part of a larger project where we are examining the relationship and influence of news and social media on stock price, here we investigate the potential links between the sentiment of news articles about companies and stock price change of those companies. We describe a method to adapt sentiment word lists based on news articles about specific companies, in our case downloaded from the Guar...