2,261 research outputs found

    Asian Government Usage of Web 2.0 Social Media

    Get PDF
    The rise of Web 2.0 social sites, such as Facebook, Twitter and YouTube has brought significant changes and opportunities for both online consumers and governments. These tools have changed the ways Internet users communicate with each other and their governments, and allow for greater social participation. The number of worldwide users is growing significantly and their expectations for more services are rising. However, this has not translated into Asian governments totally encompassing the implementation functions and services using these tools. This research investigates the level of government participation of 50 Asian governments of three social media sites. The results show that a minority of Asian governments (approximately 30 percent) are using Web 2.0 tools for communication and information dissemination. The study found that if social sites were utilised, most governments used them for a) information dissemination on official government channels, b) education and c) tourism. The implications are that governments are missing opportunities to better server their citizens and reach the growing number of Internet users. Instead of avoiding these new technologies, governments should develop an overall strategic plan for all agency levels to participate in social networks, and develop a coordinated effort to develop and implement the tools

    Emergent Capabilities for Collaborative Teams in the Evolving Web Environment

    No full text
    This paper reports on our investigation of the latest advances for the Social Web, Web 2.0 and the Linked Data Web. These advances are discussed in terms of the latest capabilities that are available (or being made available) on the Web at the time of writing this paper. Such capabilities can be of significant benefit to teams, especially those comprised of multinational, geographically-dispersed team members. The specific context of coalition members in a rapidly formed diverse military context such as disaster relief or humanitarian aid is considered, where close working between non-government organisations and non-military teams will help to achieve results as quickly and efficiently as possible. The heterogeneity one finds in such teams, coupled with a lack of dedicated private network infrastructure, poses a number of challenges for collaboration, and the current paper represents an attempt to assess whether nascent Web-based capabilities can support such teams in terms of both their collaborative activities and their access to (and sharing of) information resources

    Search Engine Optimization: Best Practices for Google

    Full text link
    The internet is a major delivery system of hotel reservations. Approximately 25% of all reservations made at a hotel come directly through the hotel’s website (Douglas, 2012). Another 11% of total reservations are booked online through online travel agent websites, or OTAs, such as Priceline.com or Expedia.com (Douglas, 2012). These additional reservations booked through the OTAs come at a cost to the hotel, however. Typical commissions for OTAs are approximately 25 % of a total booking (Sanders, 2012). In 2010, it was estimated that the commissions associated with these OTA bookings cost hoteliers 2.5 billion dollars (Douglas, 2012). Because of the increased cost associated with reservations that come through the OTAs, and the increased competition of competitors websites, hoteliers must takes steps to ensure that their property can easily be found within search engines

    Inferring Degree Of Localization Of Twitter Persons And Topics Through Time, Language, And Location Features

    Get PDF
    Identifying authoritative influencers related to a geographic area (geo-influencers) can aid content recommendation systems and local expert finding. This thesis addresses this important problem using Twitter data. A geo-influencer is identified via the locations of its followers. On Twitter, due to privacy reasons, the location reported by followers is limited to profile via a textual string or messages with coordinates. However, this textual string is often not possible to geocode and less than 1\% of message traffic provides coordinates. First, the error rates associated with Google\u27s geocoder are studied and a classifier is built that gives a warning for self-reported locations that are likely incorrect. Second, it is shown that city-level geo-influencers can be identified without geocoding by leveraging the power of Google search and follower-followee network structure. Third, we illustrate that the global vs. local influencer, at the timezone level, can be identified using a classifier using the temporal features of the followers. For global influencers, spatiotemporal analysis helps understand the evolution of their popularity over time. When applied over message traffic, the approach can differentiate top trending topics and persons in different geographical regions. Fourth, we constrain a timezone to a set of possible countries and use language features for training a high-level geocoder to further localize an influencer\u27s geographic area. Finally, we provide a repository of geo-influencers for applications related to content recommendation. The repository can be used for filtering influencers based on their audience\u27s demographics related to location, time, language, gender, and ethnicity
    • …
    corecore