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Online enquiry communities such as Question Answering (Q&A) websites allow people to seek answers to all kind of questions. With the growing popularity of such platforms, it is important for community managers to constantly monitor the performance of ...

This paper presents an approach to geolocating users of online social networks, based solely on their 'friendship' connections. We observe that users interact more regularly with those closer to themselves and hypothesise that, in many cases, a person's ...

Using semantic technologies for mining and intelligent information access to microblogs is a challenging, emerging research area. Unlike carefully authored news text and other longer content, tweets pose a number of new challenges, due to their short, ...

Exploratory search systems are built specifically to help the user in his cognitive consuming search tasks like learning or topic investigation. Some of these systems are built on the top of linked data and use semantics to provide cognitively-optimized ...

Topic classification (TC) of short text messages offers an effective and fast way to reveal events happening around the world ranging from those related to Disaster (e.g. Sandy hurricane) to those related to Violence (e.g. Egypt revolution). Previous ...

Information in networks is non-uniformly distributed, enabling individuals in certain network positions to get preferential access to information. Social scientists have developed influential theories about the role of network structure in information ...

Little is known about the navigation tactics employed by screen reader users when they face problematic situations on the Web. Understanding how these tactics are operationalised and knowing the situations that bring about such tactics paves the way ...

The Web is becoming a main conduit for our daily activities. When an activity expands across different websites, the user is left alone in the effort to aggregate the resources and services required in carrying out these cross-site activities. This ...

Museum narratives, like other forms of narrative, are developed from an underlying conceptualization of events that can be referred to as the story. Storyscope is a web-based environment for constructing and exploring museum narratives and their ...

Models of human navigation play an important role for understanding and facilitating user behavior in hypertext systems. In this paper, we conduct a series of principled experiments with decentralized search - an established model of human navigation in ...

In this paper, we address the challenge of modeling the size, duration, and temporal dynamics of short-lived crowds that manifest in social media. Successful population modeling for crowds is critical for many services including location recommendation, ...

With the growing ubiquity of mobile devices, new ways of sensing context and the emergence of the mobile Web, digital storytelling is escaping the confines of the desktop and intertwinging in new and interesting ways with the physical world. Mobile, ...

Although online recommendation systems such as recommendation of movies or music have been systematically studied in the past decade, location recommendation in Location Based Social Networks (LBSNs) is not well investigated yet. In LBSNs, users can ...

Sentiment lexica are useful for analyzing opinions in Web collections, for domain-dependent sentiment classification, and as sub-components of recommender systems. In this paper, we present a strategy for automatically generating topic-dependent lexica ...

Social media is gaining popularity as a medium of communication before, during, and after crises. In several recent disasters, it has become evident that social media sites like Twitter and Facebook are an important source of information, and in cases ...

Tag cloud is one of the navigation aids for exploring documents. Tag cloud also link documents through the user defined terms. We explore various graph based techniques to improve the tag cloud generation. Moreover, we introduce relevance measures based ...

Social media is a powerful tool that can connect family and friends across long distances as well as link people with similar interests. Social media has been widely adopted by younger adults, but older adults have been less likely to use such ...

In this paper we investigate the activity of 1 million users tweeting under 455 different hashtags related to a wide range of topics (political activism, health, technology, sports, Twitter-idioms). We find that 70% of users in the sample tweet across ...

Twitter status updates (tweets) have great potential for unobtrusive analysis of users' perceptions in real time, providing a way of investigating social patterns at scale. Here we present a tool that performs textual analysis of tweets mentioning a ...

With the development of social media tools such as Facebook and Twitter, mainstream media organizations including newspapers and TV media have played an active role in engaging with their audience and strengthening their influence on the recently ...

Facebook treats friends as a single homogeneous group even though people on Facebook are possibly acquainted with diverse group of individuals and perceive their friends as representatives of different groups. It is a common observation that people tend ...

This essay explores an analogy that might offer new ideas for the construction of adaptive hypertext narrative systems. The analogy is not with the production of a literary work but with city planning, in particular Christopher Alexander's iterative ...

As multitouch phones and tablets become more popular, multitouch technologies receive increasing attention. The underlying interaction paradigm of such devices is the space on which objects are manipulated by the user's fingertips. It is natural that ...

The main monetization vehicle of many Web media sites are display ads located on article pages. Those ads are typically displayed either as banners on top of the page, or on the page's side bar. Advertiser ROI depends on the quality of ad targeting, as ...

Semantic associations take many forms, sometimes being explicit as in visible links and at other times being implicit, not visible but nevertheless clear to the human reader. Some implicit semantic associations might be calculable as the result of a ...

Searching, browsing and analyzing web contents is today a challenging problem when compared to early Internet ages. This is due to the fact that web content is multimedial, social and dynamic. Moreover, concepts referred by videos, news, comments, posts,...

Photo-tagging web sites provide several methods to annotate photographs. In this paper, we study how people use and respond to three different annotation styles: single-word tags, multi-word tags, and comments. We find significant differences in how ...

Recommender systems based on Collaborative Filtering (CF) techniques have achieved great success in e-commerce, social networks and various other applications on the Web. However, problems such as data sparsity and scalability are still important issues ...

Nowadays, although some approaches have been proposed to enhance the diversity in online recommendations, they neglect the user's spontaneous needs that might be possibly influenced by her/his personality. Previously, we did a user survey that showed ...

The growing amount of personal information on the web raises increasing concerns about what and with whom we share information online. Nevertheless, little effort has been made in determining the relevance of the information shared with us or in ...