Despite many users get timely information through various social media platforms, news websites remain important mainstream media for high-quality news articles and comprehensive news coverage. Moreover, news websites are becoming well connected with the social media platform by enabling one-click sharing, allowing readers to comment on the articles, and pushing news update to social media thro...

Fake news has become increasingly prevalent in recent years. The evolution of social websites spurred the expansion fake causing it to a mixture with truthful information. English detection had largest share studies, unlike Arabic detection, which is still very limited. phenomenon changed people and perspectives through revolts several Arab countries. False results distortion reality ignite cha...

We present an approach to estimating concept drift in online news. Our method is to construct temporal concept vectors from topicannotated news articles, and to correlate the distance between the temporal concept vectors with edits to the Wikipedia entries of the concepts. We find improvements in the correlation when we split the news articles based on the amount of articles mentioning a concep...

On-line news agents provide commenting facilities for readers to express their views with regard to news stories. The number of user supplied comments on a news article may be indicative of its importance or impact. We report on exploratory work that predicts the comment volume of news articles prior to publication using five feature sets. We address the prediction task as a two stage classific...

Due to the overwhelming amount of news articles from a growing number of sources, it has become nearly impossible for humans to select and read all articles that are relevant to get deep insights and form conclusions. This leads to a need for an easy way to aggregate and analyze news articles efficiently and visualize the garnered knowledge as a base for further cognitive processing. The presen...

Extraction of event descriptors from news articles is a commonly required task for various tasks, such as clustering related articles, summarization, and news aggregation. Due to the lack of generally usable and publicly available methods optimized for news, many researchers must redundantly implement such methods for their project. Answers to the five journalistic W questions (5Ws) describe th...

There are numerous news articles coming to news aggregators and important news are selected to be presented on the front-page. There are two types of news selection for the front-page of news aggregators: personalized and public news recommendation (selection). This study examines public news recommendation that aims to satisfy all users’ interest on the front-page. Public news recommendation i...

Twitter has become a prime source for disseminating news and opinions. However, the length of tweets prohibits detailed descriptions; instead, tweets sometimes contain URLs that link to detailed news articles. In this paper, we devise generic techniques for recommending tweets for any given news article. To evaluate and compare the different techniques, we collected tens of thousands of tweets ...

We introduce a new information system for organization of a Digital Library of news articles found on the Web, with automatic topic classification. We present our strategies to deal with different update frequencies of news Web sites, the classification methodology, the data model for storing news articles, measurements on the data retrieved and finally results of classification of this type of...

RSS or Rich Site Summary is becoming an invaluable format/tool for news feeds. More and more news publishing organizations are realizing its benefits. Content publishers are joining the already heavily crowded RSS club. In the era of information explosion and peer-topeer sharing, RSS is a great format for doing content publishing, archiving, sharing and much more. However, it came late. We real...