Web 2.0 : Common uses and Potential Applications: An Interdisciplinary Study of Social Media with Case Studies of Applications and Some Methodology Improvements

By Martin Sykora.

Published by The Social Sciences Collection

Format Price
Article: Print $US10.00
Article: Electronic $US5.00

The emergence of web 2.0 and the widespread adoption of interactive internet usage have spurred numerous exciting developments in the recent years. These new developments facilitate information sharing, opinion and bias representation and knowledge acquisition among other things, like they never had done before. The social impact of web 2.0 adoption has been significant. Entire communities of contributors have grown around topics of interests, and ways people collaborate have changed dramatically in the World Wide Web. Blogs, Wikis, Micro Blogging, Online Bookmarking, Social Networks, Review and Media Sharing websites have all had profound effects on online content creation. In addition various web 2.0 tools, such as Tag Clouds, and a range of XHTML related techniques had a meaningful influence on how we can now consume and interact with World Wide Web information.
It comes as no surprise then that these recent developments have received considerable academic attention, mainly from the computer and information science fields. However in this paper we take a more interdisciplinary focus and we review some of these web 2.0 systems, point out their common traits and highlight previous work and case studies in a number of disciplines. We also point out that although web 2.0 adoption is now widespread, the systems available are still used in rather basic and, or common ways. We present how the so called “collaborative intelligence” of web 2.0 can be harnessed and used in a number of interesting domains, e.g. medicine and police work. There is a lot of potential to these applications as we show on a number of examples with novel data. Finally some concrete improvements to previous methodologies are suggested thorough the paper.

Keywords: web 2.0, web 2.0 Tools, Collective Intelligence, Information Retrieval, Mass Collaboration

International Journal of Interdisciplinary Social Sciences, Volume 5, Issue 10, pp.411-450. Article: Print (Spiral Bound). Article: Electronic (PDF File; 922.346KB).

Martin Sykora

PhD Scholar / Student, Computer Science, Research School of Informatics, Loughborough University, Loughborough, Leicestershire, UK

Currently Martin Sykora is a PhD student in Computer Science at the Research School of Informatics, at Loughborough University. His research is concerned with analysis of web 2.0 systems and their uses in practical real world applications for problem solving. The computational analysis of web 2.0 systems is one of his major interests because the datasets and the dynamics of these applications are still very little understood. Yet they hold great promise in a number of domains. Among Martin’s other interests are the fields of data mining, text mining, time-series prediction, and information management and information processing. Martin has also spent a considerable amount of time on interesting problems in the Financial Markets domain with several published papers at peer reviewed conferences, including a best IEEE PhD student conference paper award at SOFA 2009. Martin has also led tutorials and acted as a part time lecturer for the Computer Science Department at Loughborough University, teaching Data Mining and Fundamentals in Programming and Web based JavaScript programming.


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