As they relate to user-generated content on the internet, civic engagement and psychological empowerment have received significant interest in recent years. While past studies have examined online civic participation and political empowerment, the way in which civic engagement offline and content generation online are related to psychological empowerment has not been thoroughly explored. The pu...

Business and research likewise acknowledge the potential and economic value of information exchange in social media (i.e. the quality and the quantity of user-generated content). While existing research has mainly focused on the analysis of the impact of online information exchange, little attention has been devoted to the drivers of information exchange in social media related to major busines...

Current uncontrolled growth of online, digital multimedia content emphasizes research work on identifying trends on how this content popularity may grow over time wrt identifiable user events and interests. In this paper we analyze user-generated photos uploaded to Flickr in order to extract meaningful semantic trends covering specific geographical areas of interest. Initially, we cluster photo...

We compare the dynamical properties of two galaxies at identical positions on the Tully-Fisher relation, but with different surface brightnesses. We find that the low surface brightness galaxy UGC 128 has a higher mass-to-light ratio, and yet has lower mass densities than the high surface brightness galaxy NGC 2403. This is true for the gas surface density, the stellar surface density, and the ...

Sentence Boundary Detection (SBD) is a very important prerequisite for proper sentence analysis in different Natural Language Processing tasks. During the last years, many SBD methods have been used in the transcriptions produced by Automatic Speech Recognition systems and in well-structured texts (e.g. news, scientific texts). However, there are few researches about SBD in informal user-genera...

In this chapter, we propose the GeoSoRS architecture that is designed to create personal LBO recommendations based on a person’s whereabouts and social network profiles. In this architecture, information is used from multiple sources to extract suitable recommendations: authoritative data, knowledge-bases, internal UGC/VGI, web content, social media content, and the already available LBO produc...

The advent of Web 2.0 has enabled a host of new services and possibilities on the Internet. Among many new possibilities, users can easily upload online content that can be accessed, viewed and downloaded by other users around the globe. This has resulted in an explosive growth of User-Generated Content (UGC) which although creating exciting opportunities for users, presents many challenges, es...

Social media systems have encouraged end user participation in the Internet, for the purpose of storing and distributing Internet content, sharing opinions and maintaining relationships. Collaborative tagging allows users to annotate the resulting user-generated content, and enables effective retrieval of otherwise uncategorised data. However, compared to professional web content production, co...

In this paper, we describe our Brand Association MapTM (BAM) tool which maps and visualizes the way consumers naturally think and talk about brands across billions of unaided conversations online. BAM is a semi-supervised tool that leverages text-mining algorithms to identify key correlated phrases, terms and issues out of millions of candidate terms which were derived from billions of online c...

Nowadays folksonomy is used as a system derived from user-generated electronic tags or keywords that annotate and describe online content. But it is not a classification system as an ontology. To consider it as a classification system it would be necessary to share a representation of contexts by all the users. This paper is proposing the use of folksonomies and network theory to devise a new c...