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This study enhances stance detection on social media by incorporating deeper psychological attributes, specifically individuals’ moral foundations. These theoretically-derived dimensions aim to provide an interpretable profile of an individual’s ...

Context sensing on smartphones is often used to understand user behaviour. Amongst the many available sensors, the collection of text is crucial due to its richness. However, previous work has been limited to collecting text only from keyboard input, or ...

Encrypted traffic classification is receiving widespread attention from researchers and industrial companies. However, the existing methods only extract flow-level features, failing to handle short flows because of unreliable statistical properties, or ...

Music recommender systems are an integral part of our daily life. Recent research has seen a significant effort around black-box recommender based approaches such as Deep Reinforcement Learning (DRL). These advances have led, together with the ...

• Route choice in case of disturbances observed from a large-scale survey.
• Metric of degradation to compare a large set of disturbances and their effects.
• Multiple expected behaviours under information assumptions are estimated.
• ...

Public transport networks are affected daily by disturbances with different entities. While big service disturbances (or disruptions) are rare, delays and cancelled runs are more frequent and they affect daily the passengers. Despite this, most ...

Music discovery presents itself in an instant and in a multitude of possible ways. When comparing the user personas of streaming services in the dimension of music discovery, two main differentiation criteria become apparent, namely the degree of ...

The use of Internet of Things (IoT) devices within the home has become more popular in recent years and with the COVID-19 pandemic more employees are working from home. Risk management has become decentralised, which is problematic for organisations ...

Previous research indicates that synthetic speech can be as persuasive as human speech. However, there is a lack of empirical validation on interactive goal-oriented tasks. In our two-stage study (online listening test and lab evaluation), we compared ...

Research in enterprise system security has largely focused on the development of theoretical models capable of demonstrating mathematically that they possess desired security properties. However, recent results confirm that many of these models cannot ...

Users interact with the Internet in dynamic environments that require the IR system to be context aware. Modern IR systems take advantage of user location, browsing history or previous interaction patterns, but a significant number of contextual factors ...

Companies and web sites store information about the user behaviour which is not shared with other people. A tool for public and free sharing of this information has been developed. This tool is installed as a Firefox Add-on and it stores, in a central ...

An important issue when evaluating a search tool is the satisfaction that is expressed by its users. While there are many factors that affect satisfaction, we believe that users' expectations affect their evaluation of a query's response, and in turn, ...

This article describes a system for run-time prediction of applications in heterogeneous environments. To exploit the power of computational grids, scheduling systems need profound information about the job to be executed. The run-time of a job is - ...

In this paper, we detail our experiences with the implementation of a popular P2P file sharing system in a simulation framework. We discuss some of the salient features of our implementation, and compare packet level with application level simulators. ...