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This chapter describes the ways in which emoji and language synchronise to realise textual meaning in a social media post. It organises these as features of a system network that describes this sychronicity. A primary distinction is made between instances where emoji replace linguistic co-text (inset) and instances where emoji accompany the linguistic co-text (punctuate) in a manner similar to punctuation or discourse markers. In terms of language, the key discourse semantic systems involved are identification and periodicity, which are crucial in tracking participants and organising information flow in texts. In terms of the SFL model of textual meaning, emoji appear to occupy a wavelength between clauses and higher-level periodicity, while the unique affordances of emoji also provide new opportunities for creating meaning in texts.
This chapter explores the ideational function of emoji as they concur with language to construe experience as items and activities in social media posts. The chapter details a system network for modelling ideational concurrence. This network defines two main kinds of relations: depiction and embellishment. Depiction is where emoji congruently illustrate their co-text or integrate themselves into the ideational structure of the post. Embellishment, on the other hand, is where emoji make less congruent meanings by either metaphorising through figurative meanings or emblematising through symbols that activate preconfigured meanings for particular communities. The chapter draws on the discourse semantic system of ideation introduced in Chapter 3 to understand the concurrence of emoji and linguistic sequences, figures, and elements.
We study the positivity and causality axioms for Markov categories as properties of dilations and information flow and also develop variations thereof for arbitrary semicartesian monoidal categories. These help us show that being a positive Markov category is merely an additional property of a symmetric monoidal category (rather than extra structure). We also characterize the positivity of representable Markov categories and prove that causality implies positivity, but not conversely. Finally, we note that positivity fails for quasi-Borel spaces and interpret this failure as a privacy property of probabilistic name generation.
This chapter focuses on grammatical resources for composing information flow, focusing on theme. It begins with a basic introduction to textual clause structure – Theme and Rheme. It then describes the different types of Theme (Topical Theme, Interpersonal Theme and Textual Theme) and their grammatical realisation. The contribution of each type of Theme is illustrated in short texts illustrating their role in managing texture. The chapter concludes with a discussion of thematic progression and introduces guidelines for recognising types of Theme in discourse.
Chapter 18 surveys research over the last few decades on discourse analysis in Korean linguistics. Since the 1980s, a number of Korean linguists have explored the relationship between discourse and grammar, dealing with topics such as information flow, choice of NPs in discourse, word order variability, case markers, pragmatic functions of clausal connectives and sentence-enders, grammaticalization, cohesion and coherence, and text structures. In the 1990s and 2000s, discourse analysts have explored the relationship between conversation, social action, and grammar, introducing the assumptions and methodology of conversational analysis into discourse analysis. The chapter provides a brief overview of major findings and research topics in analyses of conversational data in Korean linguistics in terms of (i) turn-taking, turn-constructional units, and turn increments, (ii) interactional functions of some clausal connectives and sentence-ending suffixes, and (iii) other interaction-based studies of topics such as repair, demonstratives, and reported speech. It also discusses discourse studies carried out from the perspectives of sociolinguistics and Critical Discourse Analysis (CDA).
Chapter 4 integrates the economic and legal discussion in the broader technological system and its evolution that ultimately frames its direction. Agriculture consists of a process for converting energy and biological information into physical products for human consumption. The ongoing consolidation of biotechnology and agricultural analytics into a handful of massive multinational corporations clearly illustrates this definition of agriculture as a process of information flow. The architectural ideal in information science is the ‘end-to-end’ principle. All intelligence within an information platform arises from its ends; either with its originators or with ultimate consumers, or, as so often happens in an interactive age, with consumers who themselves become second-order creators of content. The corollary of the end-to-end principle, however, is that physical and logical layers, which facilitate the transmission of intelligence become ‘dumb pipe’; effectively their sole contribution to this chain consists of efficiently transporting the relevant information.
A firm’s managers have the most intimate understanding of the firm’s business, customers, processes, and capabilities. The managers’ decisions are influenced not only by institutional forces, stakeholders, and organizational governance and leadership but also by their personal values toward sustainability, attitudes toward their roles in solving environmental sustainability challenges, cognitive frames, and interpretations of environmental issues as threats or opportunities. Managers remain locked into everyday routines, patterns of thinking, and cognitive biases that may stifle creativity.Firms that develop successful PES strategies create the opportunities for employees to apply fresh ideas and strategic thinking to address sustainability challenges by enabling them to overcome their biases and everyday routines. Family firms have some unique features that influence strategic decision-making by managers (which includes the family members) differently as compared to non-family firms. Managers in family firms that aim for trans-generational continuity of their enterprise will make decisions differently when addressing environmental issues.
Social media provides us with a new platform on which to explore how the public responds to disasters and, of particular importance, how they respond to the emergence of infectious diseases such as Ebola. Provided it is appropriately informed, social media offers a potentially powerful means of supporting both early detection and effective containment of communicable diseases, which is essential for improving disaster medicine and public health preparedness.
Methods
The 2014 West African Ebola outbreak is a particularly relevant contemporary case study on account of the large number of annual arrivals from Africa, including Chinese employees engaged in projects in Africa. Weibo (Weibo Corp, Beijing, China) is China’s most popular social media platform, with more than 2 billion users and over 300 million daily posts, and offers great opportunity to monitor early detection and promotion of public health awareness.
Results
We present a proof-of-concept study of a subset of Weibo posts during the outbreak demonstrating potential and identifying priorities for improving the efficacy and accuracy of information dissemination. We quantify the evolution of the social network topology within Weibo relating to the efficacy of information sharing.
Conclusions
We show how relatively few nodes in the network can have a dominant influence over both the quality and quantity of the information shared. These findings make an important contribution to disaster medicine and public health preparedness from theoretical and methodological perspectives for dealing with epidemics. (Disaster Med Public Health Preparedness. 2018;12:26–37)
We study the optimal portfolio problem for an insider, in the case where the performance is measured in terms of the logarithm of the terminal wealth minus a term measuring the roughness and the growth of the portfolio. We give explicit solutions in some cases. Our method uses stochastic calculus of forward integrals.
The information flow in discrete Markov systems provides a method for determining that such a system is ergodic. Estimates are obtained for the information flow in some classes of Markov systems and using these estimates criteria for the ergodicity of the systems are established.
Infinite systems of interacting Markov chains are investigated. Some basic concepts of the ergodic theory of such systems are first presented. In particular, the question of the uniqueness and multiplicity of invariant probability measures is considered. In the case of one-dimensional systems, the question is studied in detail by investigating the flow of information throughout the system and some criteria for the uniqueness of invariant probability measures are obtained.
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