7,284 research outputs found

    Endogenous measures for contextualising large-scale social phenomena: a corpus-based method for mediated public discourse

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    This work presents an interdisciplinary methodology for developing endogenous measures of group membership through analysis of pervasive linguistic patterns in public discourse. Focusing on political discourse, this work critiques the conventional approach to the study of political participation, which is premised on decontextualised, exogenous measures to characterise groups. Considering the theoretical and empirical weaknesses of decontextualised approaches to large-scale social phenomena, this work suggests that contextualisation using endogenous measures might provide a complementary perspective to mitigate such weaknesses. This work develops a sociomaterial perspective on political participation in mediated discourse as affiliatory action performed through language. While the affiliatory function of language is often performed consciously (such as statements of identity), this work is concerned with unconscious features (such as patterns in lexis and grammar). This work argues that pervasive patterns in such features that emerge through socialisation are resistant to change and manipulation, and thus might serve as endogenous measures of sociopolitical contexts, and thus of groups. In terms of method, the work takes a corpus-based approach to the analysis of data from the Twitter messaging service whereby patterns in users’ speech are examined statistically in order to trace potential community membership. The method is applied in the US state of Michigan during the second half of 2018—6 November having been the date of midterm (i.e. non-Presidential) elections in the United States. The corpus is assembled from the original posts of 5,889 users, who are nominally geolocalised to 417 municipalities. These users are clustered according to pervasive language features. Comparing the linguistic clusters according to the municipalities they represent finds that there are regular sociodemographic differentials across clusters. This is understood as an indication of social structure, suggesting that endogenous measures derived from pervasive patterns in language may indeed offer a complementary, contextualised perspective on large-scale social phenomena

    Beyond invisibility: The position and role of the literary translator in the digital paratextual space

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    This thesis presents a new theoretical framework through which to analyse the visibility of literary translators in the digital materials that present translations to readers, referred to throughout as paratextual spaces. Central to this model is the argument that paratextual ‘visibility’ must be understood as including both the way translators and their labour are presented to readers, defined here as their position, and also their role in the establishment of that position. Going beyond Lawrence Venuti’s concept of invisibility as an inevitably negative position to be fought against, this thesis instead establishes paratextual visibility as a complex negotiation between the agency of individual translators, the needs of a publishing house and the interests of readers. The value of this approach is demonstrated through a case study examining the visibility of translator Jamie Bulloch in the digital spaces surrounding his English-language translations of two novels by German author Timur Vermes: Look Who’s Back and The Hungry and the Fat. This analysis finds that even though Bulloch played an early role in creating the publisher’s paratextual materials, publisher MacLehose Press prioritised making the novels’ German origins and the foreignness of the texts visible over Bulloch’s status as the translator, or his translatorship. Bulloch’s limited visibility in the publisher-created materials was then reproduced in digital paratexts created by readers and third parties such as retailer Amazon, despite his attempts to interact with readers and perform his translatorship in digital spaces such as Twitter. Rather than challenging Bulloch’s limited visibility, then, digital spaces served to amplify it. This thesis therefore finds that the translator’s active participation in the promotion of their work does not always equate to increased visibility, thus demonstrating the need to go beyond Venuti’s invisibility and towards understanding the multifaceted roles played by translators in presenting literary texts to new audiences

    Bibliographic Control in the Digital Ecosystem

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    With the contributions of international experts, the book aims to explore the new boundaries of universal bibliographic control. Bibliographic control is radically changing because the bibliographic universe is radically changing: resources, agents, technologies, standards and practices. Among the main topics addressed: library cooperation networks; legal deposit; national bibliographies; new tools and standards (IFLA LRM, RDA, BIBFRAME); authority control and new alliances (Wikidata, Wikibase, Identifiers); new ways of indexing resources (artificial intelligence); institutional repositories; new book supply chain; “discoverability” in the IIIF digital ecosystem; role of thesauri and ontologies in the digital ecosystem; bibliographic control and search engines

    Technologies and Applications for Big Data Value

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    This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part “Technologies and Methods” contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part “Processes and Applications” details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems

    Corporate social responsibility rhetoric and legitimacy in Indonesian Islamic banking

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    The future of the Indonesian Islamic bank industry is promising; however, its market share is still small. Islamic banks should strive to be accepted by stakeholders to acquire organizational legitimacy. Therefore, the impact of banks' activities on society's welfare is a significant concern. To get attention, comprehension, and conviction from stakeholders, banks should communicate their corporate social responsibilities (CSR) activities to stakeholders. Consequently, CSR rhetoric is essential. Previous studies have been conducted in the Western setting, none in the Indonesian Islamic banking context. The primary question of this research is how CSR rhetoric can be used to achieve legitimacy in the Indonesian Islamic banking context. The study uses an Islamic perspective and employs qualitative case study. This was done by investigating the two biggest Indonesian Islamic banks, Bank Syariah Mandiri and Bank Muamalat Indonesia. Data collection was conducted by interviewing six managers in charge of this issue and by collecting documents. Data analysis was carried out by categorizing the codes that emerge from interview transcription and written documents by employing Atlas.ti 7 application. Subsequently, categories and sub-categories are logically connected to make a plausible explanation. To enhance trustworthiness, this study employs purposive sampling, triangulation, and peer review. As a result, this study (1) reveals the concept of Shariah legitimacy of the Indonesian Islamic bank, (2) offers a new Islamic CSR definition, and (3) explains how rhetoric CSR can enhance Shariah legitimacy. This study contributes to the study of CSR rhetoric. Theoretically, it introduces the term Shariah legitimacy and provides a new definition of Islamic CSR. Practically, it offers CSR rhetoric strategies to achieve Shariah legitimacy. Through these strategies, Islamic banks can strengthen their existence and expand their market share. Methodologically, unlike previous studies, it uses interpretivism paradigm. For future research, this study can be expanded to other Islamic banks, replicated to different contexts, involve more cases to gain more insights, expanded further to develop quantitative evaluation criteria, and extended by investigating stakeholders' perspectives

    The Anthropocene Hypothesis

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