Understanding Switching Subscription Behavior in the Context of Campus Emergency Notification Services: An Extended Privacy Calculus Model

This paper adapts the privacy calculus model while considering the impact of informational trust and subjective norm, to investigate the factors impacting subscription switching behavior. The results of the study indicate that privacy concern, perceived benefits, and subjective norms significantly impact users’ intention to subscribe, while their intention to unsubscribe is significantly impacted by informational trust and privacy concern

MOOC, recursos de educación abierto y redes sociales: acortando la distancia entre aprendizaje informal y formal

MOOCs and open educational resources (OER) provide a wealth of learning opportunities for people around the globe, many of whom have no access to formal higher education. OER are often difficult to locate and are accessed on their own without support from or dialogue with subject experts and peers. This paper looks at whether it is possible to develop effective learning communities around OER and whether these communities can emerge spontaneously and in a self-organised way without moderation. It examines the complex interplay between formal and informal learning, and examines whether MOOCs are the answer to providing effective interaction and dialogue for those wishing to study at university level for free on the Internet.Los MOOC y los recursos educativos abiertos (REA) proporcionan una gran cantidad de oportunidades de aprendizaje para las personas de todo el mundo, muchos de los cuales no tienen acceso a la educación superior formal. Frecuentemente los REA son difíciles de localizar y se accede por cuenta propia, sin el apoyo o diálogo con expertos o compañeros. En este artículo se analiza si es posible el desarrollo de comunidades de aprendizaje eficaces alrededor de los REA y si estas comunidades pueden surgir espontáneamente y de manera auto organizada sin necesidad de moderación. Se examina la compleja interacción entre el aprendizaje formal e informal, y examina si los MOOC son la respuesta a la necesidad de interacción y proporcionan el diálogo eficaz para aquellos que deseen estudiar a nivel universitario de forma gratuita en Internet

“Got You!”: Automatic Vandalism Detection in Wikipedia with Web-based Shallow Syntactic-Semantic Modeling

Discriminating vandalism edits from non-vandalism edits in Wikipedia is a challenging task, as ill-intentioned edits can include a variety of content and be expressed in many different forms and styles. Previous studies are limited to rule-based methods and learning based on lexical features, lacking in linguistic analysis. In this paper, we propose a novel Web-based shallow syntactic-semantic modeling method, which utilizes Web search results as resource and trains topic-specific n-tag and syntactic n-gram language models to detect vandalism. By combining basic task-specific and lexical features, we have achieved high F-measures using logistic boosting and logistic model trees classifiers, surpassing the results reported by major Wikipedia vandalism detection systems

Assessing Post Usage for Measuring the Quality of Forum Posts

It has become difficult to discover quality content within forums websites due to the increasing amount of UserGenerated Content (UGC) on the Web. Many existing websites have relied on their users to explicitly rate content quality. The main problem with this approach is that the majority of content often receives insufficient rating. Current automated content rating solutions have evaluated linguistic features of UGC but are less effective for different types of online communities. We propose a novel approach that assesses post usage to measure the quality of forum posts. Post usage can be viewed as implicit user ratings derived from their usage behaviour. The proposed model is validated against an operational forum using Matthews Correlation Coefficient to measure performance. Our model serves as a basis of exploring content usage to measure content quality in forums and other Web 2.0 platforms