260 research outputs found

    Analysing the factors that influence tag choice based on semiotic analysis and activity theory

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    Social tagging has become very popular around the Internet as well as in research. The main idea behind tagging is to allow users to provide metadata to the web content from their perspective to facilitate categorization and retrieval. There are many factors that influence users' tag choice. Many studies have been conducted to reveal these factors by analysing tagging data. This paper uses two theories to identify these factors, namely the semiotics theory and activity theory. The former treats tags as signs and the latter treats tagging as an activity. The paper uses both theories to analyse tagging behaviour by explaining all aspects of a tagging system, including tags, tagging system components and the tagging activity. The theoretical analysis produced a framework that was used to identify a number of factors. These factors can be considered as categories that can be consulted to redirect user tagging choice in order to support particular tagging behaviour, such as cross-lingual tagging

    Public bookmarks and private benefits: An analysis of incentives in social computing

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    Users of social computing websites are both producers and consumers of the information found on the site. This creates a novel problem for web-based software applications: how can website designers induce users to produce information that is useful for others? We study this question by interviewing users of the social bookmarking website del.icio.us. We find that for the users in our sample, metadata reflecting who bookmarked a webpage better supports information seeking than free-form keyword metadata (tags). We explain this finding by describing differences in the way that the design of del.icio.us motivates users to contribute by providing personal benefits for bookmarking and tagging.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/61317/1/1450440240_ftp.pd

    Changing Higher Education Learning with Web 2.0 and Open Education Citation, Annotation, and Thematic Coding Appendices

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    Appendices of citations, annotations and themes for research conducted on four websites: Delicious, Wikipedia, YouTube, and Facebook

    Social Tag-Based Recommendation Services

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    Recommendation systems are a staple of Web 2.0. Sites such as Amazon.com and Netflix, for example, use recommendation systems to suggest products to customers. Currently, most of these systems involve looking at numerical ratings to judge user interest. These methods are effective, but they do not take into account the context in which the users rated the objects. This project aims to develop a tag based recommendation system to take context into account. Popular websites such as del.icio.us and Citeulike.org already use this data model, but do not generate recommendations from it.The specific goal is to recommend academic papers to researchers

    Social bookmarking: an empirical analysis of connotea users’ perspectives

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    This study examined the perspectives of experienced and inexperienced users of Connotea in terms of reported bookmarking behaviors, perceived usefulness of social bookmarking in information discovery and management, and perceived usefulness of particular Connotea features. A convenience sample of experienced (n=30) and inexperienced users (n=32) responded to an online survey. The questionnaire utilized a 4-point Likert scale to examine the respondents’ opinions. The findings showed that both experienced and inexperienced users of Connotea perceived social bookmarking to be useful for information discovery and management. They also perceived the features and policies of Connotea to be useful for their personal purposes. However, the reported frequencies of usage indicated that the extent of use of social bookmarking may not be substantial. Experienced users were also found to use social bookmarking for managing relevant websites while inexperienced users still preferred to use traditional bookmarking in dedicated computers. These findings have potential implications on the development and use of social bookmarking services. Through our results, we provided information on the human factors that may be considered for further improvement of social bookmarking applications.published_or_final_versionThe 2010 CITE Research Symposium on 'e-Learning Design and Designs for Learning', the University of Hong Kong, Hong Kong, 4-6 March 2010

    New Media, New Influencers and Implications for Public Relations

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    Marketers and public relations professionals today are confronted with an astounding array of new communications channels. Internet-based social media tools like blogs, podcasts, online video and social networks are giving voice to the opinions of millions of consumers. While mainstream media continues to play a vital role in the dissemination of information, even these traditional channels are increasingly being influenced by online conversations. The "new influencers" are beginning to tear at the fabric of marketing as it has existed for 100 years, giving rise to a new style of marketing that is characterized by conversation and community. Marketers are responding to these forces with a mixture of excitement, fear and fascination. They're alarmed at the prospect of ceding control of their messages to a community of unknowns. Yet at the same time they're excited about the prospect of leveraging theese same tools to speak directly to their constituents without the involvement of media intermediaries.The Society for New Communications Research set out to conduct an examination of how influence patterns are changing and how communications professionals are addressing those changes by adopting social media. The goals were to discover how organizations:Define new influencers;Communicate and create relationships with them;Use social media to create influence; andMeasure the effects of these efforts.Another goal of the study was to use these discoveries to offer a set of recommendations to professional communicators

    The influence of system designer intention over collaborative tagging. an analysis of tagging behaviour in CiteULike and Delicious

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    Tagging provides support for retrieval and categorization of online content depending on users' tag choice. A number of models of tagging behaviour have been proposed to identify factors that are considered to affect taggers, such as users' tagging history. In this paper, we use Semiotics Analysis and Activity theory, to study the effect the system designer has over tagging behaviour. The framework we use shows the components that comprise the tagging system and how they interact together to direct tagging behaviour. We analysed two collaborative tagging systems: CiteULike and Delicious by studying their components by applying our framework. Using datasets from both systems, we found that 35% of CiteULike users did not provide tags compared to only 0.1% of Delicious users. This was directly linked to the type of tools used by the system designer to support tagging
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