Computer scientists have responded to the high prevalence of inaccurate political
information online by creating systems that identify and flag false claims. Warning users of …

Broadcast media are declining in their power to decide which issues and viewpoints will
reach large audiences. But new information filters are appearing, in the guise of …

Due to the explosive growth in the amount of information in the last decade, it is getting
extremely harder to obtain necessary information by conventional information access …

We present a novel approach to using anonymized web search query logs to analyze and
visualize political issues. Our starting point is a list of politically annotated blogs (left vs …

In this article we examine the use of Text Rank algorithm for identifying web content
credibility. Text Rank has come to be a widely applied method for automated text …

Approaches to Natural language processing (NLP) may be classified along a double
dichotomy open/opaque-strict/adaptive. The former axis relates to the possibility of …

The possible impact of algorithmic recommendation on the autonomy and free choice of
Internet users is being increasingly discussed, especially in terms of the rendering of …

In this paper we address the problem of channel estimation for multiple-input multiple-output
OFDM systems for mobile users. A channel tracking and equalization method stemming from …

Natural language processing (NLP) research and design that aims to model and detect
opposition in text for the purpose of opinion classification, sentiment analysis, and meeting …

Our goal is to develop a support-sentence retrieval system that retrieves sentences relevant
to a given theme and then, classifies them into relevant types, such as agreement …