This article presents a dataset of 10,917 news articles with hierarchical categories collected between 1 January 2019 and 31 December 2019. We manually labeled the based on taxonomy 17 first-level 109 second-level categories. can be used to train machine learning models for automatically classifying by topic. helpful researchers working structuring, classification, predicting future events rele...

Hard news articles, just like op-ed articles, can reflect a media organization’s bias. This study assesses bias in the hard news articles published by Fox News and MSNBC. Indicative linguistic features identified by the Gramulator reveal biases in corpora from the two networks.

There exist many web based news provider applications (e.g. Pulse News reader application for iPhone/iPad and Android platforms) that gather news articles from the myriad ‘feeds’ the user is subscribed to and displays them with-in each feed category. A feed refers to a stream of news articles that may represent a news category (e.g. Gadgets, Technology, Sports, etc.) or may be very general (e.g...

Currently, a lot of news articles are published on theWeb, and it is getting easier for us to read them. However, the number of articles are too large for us to read all of them. Although some Web sites cluster/classify news articles into some topics (categories), it is not enough since a large number of articles are still in each topic. Detecting difference between articles on one topic will b...

In this paper, we describe our method to generate summary from multiple news articles. Since most of news articles report several events and these events are refereed with following articles, we use this event reference information to calculate importance of a sentence in multiple news articles. We also propose a method to delete redundant description by using similarity of events. Finally we d...

Recommending online news articles has become a promising research direction as the Internet provides fast access to real-time information from multiple sources around the world. Many online readers have their own reading preference on news articles; however, a group of users might be interested in similar fascinating topics. It would be helpful to take into consideration the individual and grou...

This document defines the standard format for interchange of Network News articles among USENET sites. It describes the format for articles themselves, and gives partial standards for transmission of news. The news transmission is not entirely standardized in order to give a good deal of flexibility to the individual hosts to choose transmission hardware and software, whether to batch news, and...

Most events described in a news article are background events – only a small number are noteworthy, and a even smaller number serve as the trigger for writing of that article. Although these events are difficult to identify, they are crucial to NLP tasks such as first story detection, document summarization and event coreference, and to many applications of event analysis that depend on event c...