Search for dissertations about: "media transformation"
Showing result 21 - 25 of 102 swedish dissertations containing the words media transformation.
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21. Information and records management systems and the impact of information culture on the management of public information
Abstract : The information society and the paperless office are by now two timeworn metaphors of contemporary society, where information is considered as the main asset and vehicle for economic, cultural and political achievements, enhanced by the use of information technology. Though information is considered an important asset not much attention is paid to its management. READ MORE
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22. Explanation-based transformation of logic programs
Abstract : .... READ MORE
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23. “All Watched Over by Machines of Loving Grace” : Activist Practices in an Era of Mediatized Surveillance
Abstract : One of the defining features of contemporary zeitgeist is that we live in an era of mediatization – a metaprocess, through (and by) which all everyday relations increasingly depend on networked media technologies and online communication channels.Due to rapid developments in digital electronics, all these Internet- or mobile-enabled platforms, and devices, are prone to the processes of quantification and datafication, and as such, surveillance is a principal dimension that lies at the core of mediatization. READ MORE
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24. Paper meets web : how the institution of news production works on paper and online
Abstract : The dissertation investigates the institution of news production at work, on paper and online, through an ethnographic study at the largest Italian financial newspaper Il Sole-24 Ore. Building on institutional theory and taking inspiration from Bordieu’s theoretical apparatus describing how cultural capital works, the dissertation presents a framework for the way institutions work, a framework that echoes Mary Douglas’ How Institutions Think (1987). READ MORE
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25. Data Abstraction and Pattern Identification in Time-series Data
Abstract : Data sources such as simulations, sensor networks across many application domains generate large volumes of time-series data which exhibit characteristics that evolve over time. Visual data analysis methods can help us in exploring and understanding the underlying patterns present in time-series data but, due to their ever-increasing size, the visual data analysis process can become complex. READ MORE