We empirically examine the reporting on biotechnology in Kenyan and international newspapers between 2010 and early 2014. We identify news articles that reported on biotechnology and analyze their use of words to determine whether there is a balance in the reporting of perceived risks and benefits. We also consider how the sources used in news articles and how the publication of the Séralini st...

Networks describe various complex natural systems including social systems. Recent studies have shown that these networks share some common properties. While studying complex systems, data collection phase is difficult for social networks compared to other networks such as the WWW, Internet, protein or linguistic networks. Many interesting social networks such as movie actors’ collaboration, sc...

Fig. 1. Workflow of the sentiment analysis system. Here we introduce a system that uses active machine learning techniques to monitor sentiment in economic news from popular Irish media sources. The proposed system (outlined in Figure 1) has two novel aspects. Firstly, it generates an aggregated news feed containing a diverse set of articles relevant to the Irish economy. This allows users to b...

The written medium through which we commonly learn about relevant news are news articles. Since there is an abundance of news articles that are written daily, the readers have a common problem of discovering the content of interest and still not be overwhelmed with the amount of it. In this paper we present a system called Event Registry which is able to group articles about an event across lan...

As the number of RSS news feeds continue to increase over the Internet, it becomes necessary to minimize the workload of the user who is otherwise required to scan through huge number of news articles to find related articles of interest, which is a tedious and often an impossible task. In order to solve this problem, we present a novel approach, called InFRSS, which consists of a correlation-b...

This study investigates how the media produces information. Using a sample of 296,497 Wall Street Journal news articles, I find that news articles written by experienced and reputable financial journalists are more informative about future earnings. I then examine the source of such information advantage by studying the detailed quotes from news articles. I further find that these journalists r...

With the diffusion of online newspapers and social media, users are becoming capable of retrieving dozens of news articles covering the same topic in a short time. News article summarization is the task of automatically selecting a worthwhile subset of news’ sentences that users could easily explore. Promising research directions in this field are the use of semantics-based models (e.g., ontolo...

The main purpose of topic detection and tracking (TDT) is to detect, group, and organize newspaper articles reporting on the same event. Since an event is a reported occurrence at a specific time and place, and the unavoidable consequences, it is conceivable that place information in a news article plays an important role in TDT. We analyzed news articles for their characteristics of place info...

NewsTrust is a non-partisan, nonprofit news service that uses a volunteer community of reviewers to rate the latest news articles on the web. The reviews consist of ratings in 18 different categories, including “facts”, “trust”, “fairness”, and “recommendation”. We obtained over 30,000 reviews spanning more than one year, covering over 15,000 unique news articles. We downloaded every full artic...

In this paper, we propose a system, FLORIN, which provides support for near real-time applications on user generated content on daily news. FLORIN continuously crawls news outlets for articles and user comments accompanying them. It attaches the articles and comments to daily event stories. It identifies the opinionated content in user comments and performs named entity recognition on news arti...