1,511 research outputs found

    Social Media and the Public Sector

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    {Excerpt} Social media is revolutionizing the way we live, learn, work, and play. Elements of the private sector have begun to thrive on opportunities to forge, build, and deepen relationships. Some are transforming their organizational structures and opening their corporate ecosystems in consequence. The public sector is a relative newcomer. It too can drive stakeholder involvement and satisfaction. Global conversations, especially among Generation Y, were born circa 2004. Beginning 1995 until then, the internet had hosted static, one-way websites. These were places to visit passively, retrieve information from, and perhaps post comments about by electronic mail. Sixteen years later, Web 2.0 enables many-to-many connections in numerous domains of interest and practice, powered by the increasing use of blogs, image and video sharing, mashups, podcasts, ratings, Really Simple Syndication, social bookmarking, tweets, widgets, and wikis, among others. Today, people expect the internet to be user-centric

    Guidelines for Accessibility to Microblogging: an Integral Approach

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    Microblogging is one of the most popular user-generated media, hence its accessibility has a large impact for users. However, the accessibility of this medium is poor in practice, due to the combination of bad practices by different agents ranging from the providers that host microblogging services to prosumers that post contents to them. Here we present an accessibility-oriented model of microblogging services, analyze the impact of its components, and propose guidelines for each of them to meet accessibility requirements. In particular, we base on an study we have performed on Twitter, one of the most-relevant microblogging platform, to identify good and bad practices in microblogging content generation regarding accessibility in microblogging content generation

    SEMANTIC SOCIAL NETWORK ANALYSIS FOR THE ENTERPRISE

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    Business processes are generally fixed and enforced strictly, as reflected by the static nature of underlying software systems and datasets. However, internal and external situations, organizational changes and various other factors trigger dynamism, which is reflected in the form of issues, complains, Q&A, opinions, reviews, etc, over a plethora of communication channels, such as email, chat, discussion forums, and internal social network. Careful and timely analysis and processing of such channels may lead to early detection of emerging trends, critical issues, opportunities, topics of interests, contributors, experts etc. Social network analytics have been successfully applied in general purpose, online social network platforms, like Facebook and Twitter. However, in order for such techniques to be useful in business context, it is mandatory to integrate them with underlying business systems, processes and practices. Such integration problem is increasingly recognized as Big Data problem. We argue that SemanticWeb technology applied with social network analytics can solve enterprise knowledge management, while achieving integration
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