235,709 research outputs found

    MAPPING INDONESIAN WEB SERIES THEMES: INSIGHTS INTO OVER THE TOP CONTENT DIVERSITY

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    The ease of internet access in Indonesia is increasing. This encourages content production on the internet to grow as well, including producing original web series broadcast on over-the-top (OTT) services in Indonesia. Encouraging the creation of content diversity in web series requires mapping content produced within a certain period. This research will map the content of the Indonesian web series broadcast on five OTTs in 2020–2022. This research attempts to map the Indonesian web series themes published from 2020 to July 2022. The method used is a qualitative content analysis by reading various theme elements in the web series. These elements can describe the ideas and impressions created by filmmakers. Thematic elements include (1) plot, (2) emotional or mood effects, (3) character, and (4) style or structure. A popular theme is the theme of romance with a variety of school love. The mood is built through conflicts that are close to everyday life. Style the camera arrangement using cinematic and dynamic shots. The sound arrangement makes a lot of use of dialogue to convey messages. Artistic has a trend to take advantage of the beauty of nature and space. To strengthen the three dimensions of the character, make-up, and wardrobe are used according to the character's character. The results of this study are as follows: A popular theme is romance with a variety of school love. The mood is built through conflicts that are close to everyday life

    EVERY \u27ONE\u27 AND EVERY \u27THING\u27 CAN BE LOVED : A RHETORICAL ANALYSIS OF NETWORKED SELF-REPRESENTATION BY THE OBJECTùM SEXUALITY COMMUNITY

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    Using rhetorical criticism informed by actor-network theory (ANT), in this dissertation I explore the emergence of queer identity and queer community building within the Objectùm Sexuality Internationale Web site (OSI)--the largest source of information related to a community of over 300 hundred individuals who experience emotional and romantic desire towards objects. My goals in this study are (1) to identify and understand how rhetorical strategies are emergent and networked (rather than individually enacted) within the OSI Web site; and (2) how these emergent rhetorical strategies promote multiplicity of sexual desire and identity through the challenging of heteronormative and anthropocentric binaries and normativities via queer posthuman forms of love and connection. Using an ANT informed rhetorical criticism, I identified four layers of communication that facilitate the emergence of actor networks within the OSI Web site: (1) translation--the process by which human actors depict experience in texts); (2) enactment--the process by which actors (human and object) interact in ways that create networks of action and agency); (3) representation--the process in which certain macroactors (actors that appear as recurring and stable categories) present the interests of other actors within the network); and (4) teleaction--the movement of representations from place to place and over time through memory and text. Within these layers, I identified four categories of translation, thirteen macroactors, and four types of teleaction. The translations that emerge on the OSI Web site include how objectùm sexuality became a term and community, what it means to be objectùm sexual, how people who identify as objectùm sexual have come to make sense of their experiences, and public pleas for acceptance regarding objectùm sexuality. The macroactors that emerge include people, communication devices, purposes of OSI, orientation, animism, sensuality/intimacy, nonverbal communication, love, gender, attraction, marriage, medicalization, and the Red Fence. The processes of teleaction that emerge include verbal, nonverbal, hybrid, and symbolic actors. These four layers then led to the emergence of four higher-level rhetorical dimensions. These include: (1) terminological dimension-- the interrelationship between terms and the OS community; (2) ontological dimension--the emergence of a higher-level philosophy about the existence of beings and the meanings and modes of being, existing, living, and loving for OS; (3) axiological dimension--the emergence of criteria for ethical values and judgments in relation to OS; and (4) epistemological dimension--where the dimensions of ontology and terminology meet and the nature and scope of knowledge about OS is represented. Together, these four transcendent levels facilitate the rhetorical construction of the OS community and critiques of heteronormative/anthropocentric frames of love, desire, and sexuality. Overall, these various strategies lead to two larger rhetorical moves: (1) OSI communicates and adapts to internal and external audiences; and (2) OSI rhetoric moves from specific meanings to larger paradigmatic shifts that reveal is function as a social movement within a single rhetorical text. This process of rhetorical strategy building positions OS within intelligible frameworks of understanding in order to: (1) provide information about OS that will mitigate fear and sensationalism and facilitate acceptance; (2) construct an OSI community identity and human-object desire more generally; and (3) direct people away from heteronormative and anthropocentric worldviews and toward a queer posthuman worldviews of love, desire, and connection

    Design Research and Domain Representation

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    While diverse theories about the nature of design research have been proposed, they are rarely considered in relation to one another across the broader disciplinary field. Discussions of design research paradigms have tended to use overarching binary models for understanding differing knowledge frameworks. This paper focuses on an analysis of theories of design research and the use of Web 3 and open content systems to explore the potential of building more relational modes of conceptual representation. The nature of this project is synthetic, building upon the work of other design theorists and researchers. A number of theoretical frameworks will be discussed and examples of the analysis and modelling of key concepts and information relationships, using concept mapping software, collaborative ontology building systems and semantic wiki technologies will be presented. The potential of building information structures from content relationships that are identified by domain specialists rather than the imposition of formal, top-down, information hierarchies developed by information scientists, will be considered. In particular the opportunity for users to engage with resources through their own knowledge frameworks, rather than through logically rigorous but largely incomprehensible ontological systems, will be explored in relation to building resources for emerging design researchers. The motivation behind this endeavour is not to create a totalising meta-theory or impose order on the ‘ill structured’ and ‘undisciplined’, domain of design. Nor is it to use machine intelligence to ‘solve design problems’. It seeks to create dynamic systems that might help researchers explore design research theories and their various relationships with one another. It is hoped such tools could help novice researchers to better locate their own projects, find reference material, identify knowledge gaps and make new linkages between bodies of knowledge by enabling forms of data-poesis - the freeing of data for different trajectories. Keywords: Design research; Design theory; Methodology; Knowledge systems; Semantic web technologies.</p

    Terminology mining in social media

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    The highly variable and dynamic word usage in social media presents serious challenges for both research and those commercial applications that are geared towards blogs or other user-generated non-editorial texts. This paper discusses and exemplifies a terminology mining approach for dealing with the productive character of the textual environment in social media. We explore the challenges of practically acquiring new terminology, and of modeling similarity and relatedness of terms from observing realistic amounts of data. We also discuss semantic evolution and density, and investigate novel measures for characterizing the preconditions for terminology mining

    Gower as Data: Exploring the Application of Machine Learning to Gower’s Middle English Corpus

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    Distant reading, a digital humanities method in wide use, involves processing and analyzing a large amount of text through computer programs. In treating texts as data, these methods can highlight trends in diction, themes, and linguistic patterns that individual readers may miss or critical traditions may obscure. Though several scholars have undertaken projects using topic models and text mining on Middle English texts, the nonstandard orthography of Middle English makes this process more challenging than for our counterparts in later literature. This collaborative project uses Gower’s Confessio Amantis as a small, fixed corpus for analysis. We employ natural language processing to reexamine the Confessio’s themes, adding data analysis to the more traditional close reading strategies of Gower scholarship. We use Gower’s work as a case study both to help reduce the potential variants across textual versions and to more deeply investigate the corpus than distant reading normally allows. Here, we share our initial findings as well as our methodologies. We hope to share resources that will allow other scholars to engage in similar types of projects

    Using webcrawling of publicly available websites to assess E-commerce relationships

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    We investigate e-commerce success factors concerning their impact on the success of commerce transactions between businesses companies. In scientific literature, many e-commerce success factors are introduced. Most of them are focused on companies' website quality. They are evaluated concerning companies' success in the business-to- consumer (B2C) environment where consumers choose their preferred e-commerce websites based on these success factors e.g. website content quality, website interaction, and website customization. In contrast to previous work, this research focuses on the usage of existing e-commerce success factors for predicting successfulness of business-to-business (B2B) ecommerce. The introduced methodology is based on the identification of semantic textual patterns representing success factors from the websites of B2B companies. The successfulness of the identified success factors in B2B ecommerce is evaluated by regression modeling. As a result, it is shown that some B2C e-commerce success factors also enable the predicting of B2B e-commerce success while others do not. This contributes to the existing literature concerning ecommerce success factors. Further, these findings are valuable for B2B e-commerce websites creation

    A model for providing emotion awareness and feedback using fuzzy logic in online learning

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    Monitoring users’ emotive states and using that information for providing feedback and scaffolding is crucial. In the learning context, emotions can be used to increase students’ attention as well as to improve memory and reasoning. In this context, tutors should be prepared to create affective learning situations and encourage collaborative knowledge construction as well as identify those students’ feelings which hinder learning process. In this paper, we propose a novel approach to label affective behavior in educational discourse based on fuzzy logic, which enables a human or virtual tutor to capture students’ emotions, make students aware of their own emotions, assess these emotions and provide appropriate affective feedback. To that end, we propose a fuzzy classifier that provides a priori qualitative assessment and fuzzy qualifiers bound to the amounts such as few, regular and many assigned by an affective dictionary to every word. The advantage of the statistical approach is to reduce the classical pollution problem of training and analyzing the scenario using the same dataset. Our approach has been tested in a real online learning environment and proved to have a very positive influence on students’ learning performance.Peer ReviewedPostprint (author's final draft

    Introduction: looking beyond the walls

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    In its consideration of the remarkable extent and variety of non-university researchers, this book takes a broader view of ‘knowledge’ and ‘research’ than in the many hot debates about today’s knowledge society, ‘learning age’, or organisation of research. It goes beyond the commonly held image of ‘knowledge’ as something produced and owned by the full-time experts to take a look at those engaged in active knowledge building outside the university walls
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