468 research outputs found

    Tagging amongst friends: an exploration of social media exchange on mobile devices

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    Mobile social software tools have great potential in transforming the way users communicate on the move, by augmenting their everyday environment with pertinent information from their online social networks. A fundamental aspect to the success of these tools is in developing an understanding of their emergent real-world use and also the aspirations of users; this thesis focuses on investigating one facet of this: the exchange of social media. To facilitate this investigation, three mobile social tools have been developed for use on locationaware smartphone handsets. The first is an exploratory social game, 'Gophers' that utilises task oriented gameplay, social agents and GSM cell positioning to create an engaging ecosystem in which users create and exchange geotagged social media. Supplementing this is a pair of social awareness and tagging services that integrate with a user's existing online social network; the 'ItchyFeet' service uses GPS positioning to allow the user and their social network peers to collaboratively build a landscape of socially important geotagged locations, which are used as indicators of a user's context on their Facebook profile; likewise 'MobiClouds' revisits this concept by exploring the novel concept of Bluetooth 'people tagging' to facilitate the creation of tags that are more indicative of users' social surroundings. The thesis reports on findings from formal trials of these technologies, using groups of volunteer social network users based around the city of Lincoln, UK, where the incorporation of daily diaries, interviews and automated logging precisely monitored application use. Through analysis of trial data, a guide for designers of future mobile social tools has been devised and the factors that typically influence users when creating tags are identified. The thesis makes a number of further contributions to the area. Firstly, it identifies the natural desire of users to update their status whilst mobile; a practice recently popularised by commercial 'check in' services. It also explores the overarching narratives that developed over time, which formed an integral part of the tagging process and augmented social media with a higher level meaning. Finally, it reveals how social media is affected by the tag positioning method selected and also by personal circumstances, such as the proximity of social peers

    Integration of Word Cloud and Tag Cloud with ILS OPAC for Enhancing the Folksonomy Based Services

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    Purpose The significant purpose of conducting this research is to find out more about folksonomy-based services with the help of word cloud and tag cloud. Broader terms and narrower terms are searching on bibliographic records and linking web repositories. It shows the integration mechanism of the word cloud and tag cloud with ILS OPAC using Koha and HTML scripts. Designing and developing a process for easy retrieving of library resources based on folksonomy enabled services. These new innovative services are very much helpful for library users. Methodology This folksonomy-based integrated framework has been developed and designed based on global repositories. Word cloud and tag cloud are possible with the help of HTML scripts and Koha ILS OPAC. Developed a framework for incorporating the HTML script in Koha OPAC main user block based on tools and news options in staff client interfaces. The HTML script has been designed from the word cloud concept in the online repository. This integrated web 2.0 framework is very fruitful to library professionals because it depends on a LAMP architecture. The whole system and services have been developed on Ubuntu operating system. Findings Folksonomy-based services can be achieved for the users after proper configuration and adding of these concepts. It is possible to provide the web 2.0 services with the help of word cloud and tag cloud from Koha ILS OPAC. Related terms and links can be accessed using this integrated framework. So, folksonomy-based services have been provided by using these techniques. Originality The originality of this study is keyword visualization based on folksonomy services. This integrated framework belongs to web 2.0 concepts. It is possible to generate the word cloud and tag cloud in ILS OPAC in the form of visualization. This is very useful and conducive to library users. So all the libraries are very much attracted to these modern services and strategies. This integrated framework is based on web 2.0, and folksonomy-enabled services in tag and word cloud. Overall, it is possible to integrate and generate these services with OPAC to increase modern information retrieval systems and services

    WSAmacd handbook 2012-13 PDF edition

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    The story, syllabus and course information handbook for the MA in Communication Design at Winchester School of Art. www.facebook.com/WSAmac

    WordCrowd : a location-based application to explore the city based on geo-social media and semantics

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    WordCrowd is a dynamic location-based service that visualizes and analyzes geolocated social media data. By spatially clustering the data, areas of interest and their descriptions can be extracted and compared on different geographical scales. When walking through the city, the application visualizes the nearest areas of interest and presents these in a word cloud. By aggregating the data based on the country of origin of the original poster, we discover differences and similarities in tourist interest between different countries. This work is part of the project Eureca: European Region Enrichment in City Archives and Collections of Ghent University (IDLab, CartoGIS), the Technical University of Vienna (Research Group Cartography) and several city and state archives from Ghent and Vienna.(VLID)452639

    Data Ecologies: Relational Strategies for Communicating Complexity in Media Artworks

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    This thesis argues that in order to understand contemporary media artworks that use and address data, we need to develop what I term a ‘relational understanding’ of data. This can be achieved by challenging common assumptions of data as somehow being ‘pure’, ‘raw’, or taken as a given. For this thesis, data is not considered as a pre-existing instantiated object (as is the case in object-oriented programming for instance). Instead, I consider the complex and relational nature of data—both as it emerges from human systems, and as it produces those systems. Through a creative-practice-as-research approach, this thesis moves beyond the idea that there is such a thing as “raw” data, and advances the novel idea of “data as ecology”. This thesis articulates the complex network of relations that make, shape and create media artworks. At its core, this involves exploring the materiality of data. In order to better understand this, I analyse the processes that bring data into existence, and conduct an investigation into the more precise nature of the interconnections that the world of data both creates and puts into action. In this thesis, ecologies of both practice and media are explored in order to propose a working model of “data ecologies”. This is established by means of a number of original interactive, reactive, and generative new-media works that have been made and exhibited during the course of this investigation. I consider this original creative practice within the broader field of investigation and against the backdrop of a wider body of creative works that have been made by artists over the past decade. To advance this analysis of how data ecologies perform across these clearly delineated fields, I review and assess a number of key media artworks (including my own original creative practice components made during the course of this research, specifically, Laika’s Dérive and Hothouse). The data ecologies that this thesis outlines and analyses enable a new productive approach for media art practices to attend to the processual quality of data in a novel ecological framework that can be used to communicate complex poetic knowledge systems

    Space and time in Mmen

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    This thesis provides an analysis of the linguistic expression of spatial and temporal relations in Mmen, a Niger-Congo language spoken in Bafumen, in the North West Region of Cameroon. Linguistic means of expressing spatial relations are surveyed in usage and in grammatical structure, and categorized according to the patterns found. Locative prepositions and usages are compared with directional and temporal expressions, and the use of spatial motion words and constructions to express motion and relations in time is described and discussed. The data was elicited in the field, using both pictorial stimuli (Bowerman & Pederson 1992) and translation tasks. Amongst the salient results was that tonal patterns can be the only distinction in realization of a preposition, and that the conceptualization of “front” and “back” can show the reverse pattern from that in English

    Opinion Analysis for Emotional Classification on Emoji Tweets using the Naïve Bayes Algorithm

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    Opinion Analysis is a research study needed to social media, since the content could become a trending topic and has a significant impact on social life. One of the social media that have a big contribution to cyberspace and information development is Twitter. In the Twitter application, users can insert images that represent emotions, facial expressions, or icons. Emoji is a graphic symbol in the form of an image to express a thing, with the Emoji, a text can be read and understood according to its meaning because the image represents it. Of the several things that have been mentioned then, the researchers conducted research on the classification of tweet content based on the use of Emojis. This study aims to determine the emotional uses of Twitter in one period. Every tweet on the Twitter timeline, which contains both text and Emojis, will be classified according to several categories. The algorithm used was Naïve Bayes. It calculated the probability of Emoji tweet to obtain the text classification with Emojis. The results of the classification of emotions are grouped with three categories, namely "angry," "joy," and "sad," it showed that the category "joy" had become the emotional trend of Twitter users where Emojis (x1f60a) dominate the most. Meanwhile, the accuracy of the algorithm used to reach 90% with a 70:30 holdout technique

    Digital Heritage

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    Static and dynamic states: the case of Estonian stative colour expressions

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    The aim of this study is to account for stative situations through the example of structurally different but semantically close colour expressions: the Estonian stative verbs derived from colour adjectives and colour adjectives appearing as the predicative. Stative verbs are assumed to be similar to copula constructions, with the aspectual distinction of temporary/permanent property. In this article, the stative colour expressions are analysed using the linguistic diagnostics developed for the determination of ontological properties of different types of states – the sc. Davidsonian and Kimian states (see e.g. Maienborn 2003). Analysis reveals that the copula construction with colour adjective as predicative is ambiguous, inclining to the Kimian states but also assigning properties characteristic to the Davidsonian states; the stative colour verbs, in turn, are true examples of Davidsonian states. In addition to the examination of the stative properties, the conceptual structure analysis of the colour expressions instantiating stative and dynamic states is given. The observer’s evaluation of the coloured object as a mental image is treated as part of the lexical information of the colour statives. Also, sentential and contextual phenomena of the colour statives are discussed
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