Media bias, ie, slanted news coverage, can strongly impact the public perception of the
reported topics. In the social sciences, research over the past decades has developed …

Event extraction from news articles is a commonly required prerequisite for various tasks,
such as article summarization, article clustering, and news aggregation. Due to the lack of …

Event extraction aims to identify an event and then extract the arguments participating in the
event. Despite the great success in sentencelevel event extraction, events are more …

Event detection is a crucial task for natural language processing and it involves the
identification of instances of specified types of events in text and their classification into …

Media bias describes differences in the content or presentation of news. It is an ubiquitous
phenomenon in news coverage that can have severely negative effects on individuals and …

The inverted pyramid is a basic structure of news reporting used by journalists to convey
information and it is considered a key element of objectivity in news reporting. In this article …

Events can be defined as phenomena that occur at a specific time and place. Social
networks and news portals publish thousands of events daily, and this knowledge is …

In this article, we pursue the automatic detection of fake news reporting on the Syrian war
using machine learning and meta-learning. The proposed approach is based on a suite of …

In recent years, scholars have explored the applicability of supervised machine learning
(SML) within journalism studies. While such computational methods could be of added value …

The automatic extraction of breaking news events from natural language text is a valuable
capability for decision support systems. Traditional systems tend to focus on extracting …