Given their pervasive use, social media, such as Twitter, have become a leading source of breaking news. A key task in the automated identification of such news is the detection of novel documents from a voluminous stream of text documents in a scalable manner. Motivated by this challenge, we introduce the problem of online `1-dictionary learning where unlike traditional dictionary learning, wh...

<span>To date, the study of news deserts, geographic spaces lacking local and information, has largely focused on countries in Global North, particularly United States, predominantly been interested causes consequences disappearance media outlets (e.g., newspapers TV stations) to social fabric a community. In this article, we extend concept “news deserts” by drawing literature geography A...

This study investigates a range of traditional and technological factors that contribute to credibility perceptions for three categories of online news sources. These sources include mainstream (usatoday.com, nytimes.com), independent (thedrudgereport.com, axisoflogic.com), and index-type (news.google.com, yahoo.news.com) websites. While traditional dimensions of credibility remain influential,...

Because the volume of information available online is growing at breakneck speed, keeping up with meaning and information communicated by the media and netizens is a new challenge both for scholars and for companies who must address public relations crises. Most current theories and tools are directed at identifying one website or one piece of online news and do not attempt to develop a rapid u...

The rapid growth of online social media networks like Facebook and Twitter is strongly influencing news media to engage with such networks for generating newsworthy content, accessing mass audiences for news consumption and using the platforms for news distribution. While both media’s complement each other as sources of news and information, they also compete against each other as news reposito...

This thesis describes and analyzes implications of going from hypertext news to hypermedia news through a process of design, involving users and producers. As in any product development, it is difficult to conceive design of a novel news format that does not relate to earlier genres, and thus to antecedent designs. The hypothesis is that this problem can be addressed by explicitly taking a genr...

Today’s massive news streams demand the automate analysis which is provided by various online news explorers. However, most of them do not provide sentiment analysis. The main problem of sentiment analysis of news is the differences between the writers and readers attitudes to the news text. News can be good or bad but have to be delivered in neutral words as pure facts. Although there are appl...

We perform a study on cold-start news popularity prediction using a collection of 13,319 news articles obtained from Yahoo News. We characterise the online popularity of news articles by two different metrics and try to predict them using machine learning techniques. Contrary to a prior work on the same topic, our findings indicate that predicting the news popularity at cold start is a difficul...

The Lydia project seeks to build a relational model of people, places, and things through natural language processing of news sources and the statistical analysis of entity frequencies and co-locations. Our analysis is quite different from Google News. We track the temporal and spatial distribution of the entities in the news: who is being talked about, by whom, when, and where? Please visit ou...

Social plugins for sharing news through Facebook and Twitter have become increasingly salient features on news sites. Together with the user comment feature, social plugins are the most common way for users to contribute. The wide use of multiple features has opened new areas to comprehensively study users’ participatory practices. However, how do these opportunities to participate vary between...