Sars

SARS (Acute Respiratory Syndrome) first presented itself to the global medical community as a case of atypical pneumonia in one small Chinese village in November 2002. Three months later the mysterious illness rapidly spread and appeared in Vietnam, Hong Kong, Toronto and then Singapore. The high fatality rate and sheer speed at which this disease spread prompted the World Health Organization to initiate a medieval practice of quarantine in the absence of any scientific knowledge of the disease. Now three years on from the initital outbreak, SARS poses no major threat and has vanished from the global media. Written by a team of contributors from a wide variety of disciplines, this book investigates the rise and subsequent decline of SARS in Hong Kong, mainland China and Taiwan. Multidisciplinary in its approach, SARS explores the epidemic from the perspectives of cultural geography, media studies and popular culture, and raises a number of important issues such as the political fate of the new democracy, spatial governance and spatial security, public health policy making, public culture formation, the role the media play in social crisis, and above all the special relations between the three countries in the context of globalization and crisis. It provides new and profound insights into what is still a highly topical issue in today’s world

A Hybrid Approach to Finding Relevant Social Media Content for Complex Domain Specific Information Needs

While contemporary semantic search systems offer to improve classical keyword-based search, they are not always adequate for complex domain specific information needs. The domain of prescription drug abuse, for example, requires knowledge of both ontological concepts and 'intelligible constructs' not typically modeled in ontologies. These intelligible constructs convey essential information that include notions of intensity, frequency, interval, dosage and sentiments, which could be important to the holistic needs of the information seeker. We present a hybrid approach to domain specific information retrieval (or knowledge-aware search) that integrates ontology-driven query interpretation with synonym-based query expansion and domain specific rules, to facilitate search in social media. Our framework is based on a context-free grammar (CFG) that defines the query language of constructs interpretable by the search system. The grammar provides two levels of semantic interpretation: 1) a top-level CFG that facilitates retrieval of diverse textual patterns, which belong to broad templates and 2) a low-level CFG that enables interpretation of certain specific expressions that belong to such patterns. These low-level expressions occur as concepts from four different categories of data: 1) ontological concepts, 2) concepts in lexicons (such as emotions and sentiments), 3) concepts in lexicons with only partial ontology representation, called lexico-ontology concepts (such as side effects and routes of administration (ROA)), and 4) domain specific expressions (such as date, time, interval, frequency and dosage) derived solely through rules. Our approach is embodied in a novel Semantic Web platform called PREDOSE developed for prescription drug abuse epidemiology. Keywords: Knowledge-Aware Search, Ontology, Semantic Search, Background Knowledge, Context-Free GrammarComment: Accepted for publication: Journal of Web Semantics, Elsevie

Sars

SARS (Acute Respiratory Syndrome) first presented itself to the global medical community as a case of atypical pneumonia in one small Chinese village in November 2002. Three months later the mysterious illness rapidly spread and appeared in Vietnam, Hong Kong, Toronto and then Singapore. The high fatality rate and sheer speed at which this disease spread prompted the World Health Organization to initiate a medieval practice of quarantine in the absence of any scientific knowledge of the disease. Now three years on from the initital outbreak, SARS poses no major threat and has vanished from the global media. Written by a team of contributors from a wide variety of disciplines, this book investigates the rise and subsequent decline of SARS in Hong Kong, mainland China and Taiwan. Multidisciplinary in its approach, SARS explores the epidemic from the perspectives of cultural geography, media studies and popular culture, and raises a number of important issues such as the political fate of the new democracy, spatial governance and spatial security, public health policy making, public culture formation, the role the media play in social crisis, and above all the special relations between the three countries in the context of globalization and crisis. It provides new and profound insights into what is still a highly topical issue in today’s world

Beyond the knowledge gap paradigm: the role of psychological empowerment in parents’ vaccination decision

Even though the efficacy and safety of immunization have been widely proven (Plotkin, 2014), an increasing number of parents have refused to vaccinate their children against serious infectious diseases in the past twenty years (Dubé, Gagnon, Nickels, Jeram, & Schuster, 2014). A recent shift in the study of vaccination decision- making has seen scholars moving beyond the idea that mere lack of knowledge could explain why parents decide to opt out of the recommended schedule, showing that making a vaccination decision is a complex cognitive and emotional process where several factors play a role. Variables such as risk perception, anticipated regret or prosocial attitude can potentially contribute to choosing or not choosing a given vaccination (Yaqub, Castle-Clarke, Sevdalis, & Chataway, 2014). The aim of this dissertation, which is based on the Health Empowerment Model (Schulz & Nakamoto, 2013), is to explore and assess the role of vaccination knowledge (as a dimension of vaccination literacy) in parental vaccination decision-making, while studying, at the same time, the implications of parents’ psychological empowerment on the decision about immunizing their child, with a special focus on the measles-mumps-rubella (MMR) vaccination. Six unique studies that employed both qualitative (individual interviews and focus groups) and quantitative (content analysis, survey and experiment) methods are presented, which aim to assess the influence of vaccination literacy and psychological empowerment on vaccination-related outcomes such as intention, while providing a valid and reliable measurement tool for the empowerment construct as well as a context-specific conceptualization. A content analysis (Chapter II) focusing on the arguments cited by users posting online about vaccination shows that a distinction can be made between an anti-vaccination group, a general pro- vaccination group (using diverse arguments supporting vaccination) and a safety- focused pro-vaccination group. The anti-vaccination group appears to be more active than the others and to also use multiple sources (mainly its own experience and media). The findings of an interview study (Chapter III) reveal that parents tend to misinterpret current vaccination recommendations and experience negative outcomes of their low self-perceived competence. The study also shows that parents think that their MMR vaccination decision can have an impact on different levels and that they have a preference for shared-decision making in relation to their child’s healthcare provider. A second qualitative study employing focus group interviews (Chapter IV) shows that parents are concerned with their legal responsibility and issues of freedom with regards to the MMR vaccination decision. A key finding is that parents’ relationship with the pediatrician in terms of trust is crucial to their self-perceived competence, suggesting their preference for a model of autonomy that does not exclude a shared decision-making approach with the child’s healthcare provider. Finally, a distinction emerges between information seekers, avoiders, and passive recipients. A scale is developed and its psychometric properties are evaluated (Chapter V) to provide a valid and reliable tool to measure psychological empowerment in the vaccination decision. The final tool captures parents’ perceived influence of one’s personal and family experience regarding vaccination, their desire not to ask other parents about their experience with vaccinations and their lack of interest in the vaccination opinion of other parents. These elements can be seen as context-specific extensions of the empowerment dimension of self-determination. The findings of an experimental study (Chapter VI) demonstrate that providing accurate information on the vaccination through a smartphone app employing gamification can positively and significantly increase parents’ knowledge and empowerment. Furthermore, providing information in a gamified way also led to a higher intention to vaccinate and higher parental confidence in the decision. Finally, a mixed method study to evaluate the experiment described above (Chapter VII), suggests that parents have a preference for information and opinions, compared to solely being empowered and pushed to look for information. The results recommend that empowering efforts be always accompanied by proper and exhaustive information. On the basis of these findings, this dissertation contributes to understanding parents’ empowerment needs in the vaccination decision, providing new insights to current research that seeks to study the vaccination decision as a complex process. The results of the studies can significantly inform ways to improve not only communication between health professionals and parents on the vaccination topic, but also future public health strategies and policies ultimately aimed at increasing vaccination coverage

A treatise on Web 2.0 with a case study from the financial markets

There has been much hype in vocational and academic circles surrounding the emergence of web 2.0 or social media; however, relatively little work was dedicated to substantiating the actual concept of web 2.0. Many have dismissed it as not deserving of this new title, since the term web 2.0 assumes a certain interpretation of web history, including enough progress in certain direction to trigger a succession [i.e. web 1.0 → web 2.0]. Others provided arguments in support of this development, and there has been a considerable amount of enthusiasm in the literature. Much research has been busy evaluating current use of web 2.0, and analysis of the user generated content, but an objective and thorough assessment of what web 2.0 really stands for has been to a large extent overlooked. More recently the idea of collective intelligence facilitated via web 2.0, and its potential applications have raised interest with researchers, yet a more unified approach and work in the area of collective intelligence is needed. This thesis identifies and critically evaluates a wider context for the web 2.0 environment, and what caused it to emerge; providing a rich literature review on the topic, a review of existing taxonomies, a quantitative and qualitative evaluation of the concept itself, an investigation of the collective intelligence potential that emerges from application usage. Finally, a framework for harnessing collective intelligence in a more systematic manner is proposed. In addition to the presented results, novel methodologies are also introduced throughout this work. In order to provide interesting insight but also to illustrate analysis, a case study of the recent financial crisis is considered. Some interesting results relating to the crisis are revealed within user generated content data, and relevant issues are discussed where appropriate

The Potential of Social Media Intelligence to Improve Peoples Lives: Social Media Data for Good

In this report, developed with support from Facebook, we focus on an approach to extract public value from social media data that we believe holds the greatest potential: data collaboratives. Data collaboratives are an emerging form of public-private partnership in which actors from different sectors exchange information to create new public value. Such collaborative arrangements, for example between social media companies and humanitarian organizations or civil society actors, can be seen as possible templates for leveraging privately held data towards the attainment of public goals

Santa Fe New Mexican, 04-19-1911

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Constructing collective identities in the Internet age: a case study of Taiwanese-based internet forums

The thesis presents a case study of asynchronous Taiwanese-based internet forums, aimed at exploring new perspectives in the question of collective identity construction via intemet-forum participation. It develops a discursive-constructivist approach that incorporates the theories and models of Goffman, Butler, Laclau & Mouffe and Melucci, investigating the performative, antagonistic and negotiated dimensions of identities. Methodologically, it deploys a series of analytic tools from linguistics and micro sociology, as well as the methods of content analysis and online ethnography. Focusing on the questions of gay identities and national identities, the case study tracks down ten years of archives of the local gay forums and political forums, examining the ways in which collective identities take form through speech performance and social interactions in cyberspace. The case analysis of the gay forums finds that the internet gives rise to networked online gay communities, where individual gays’ subject-positions are performed. Meanwhile, the forums permit the reconstruction of the Other of the gay community, which ironically results in the creation of an internal Other among the community. Furthermore, the forums allow their grassroots participants to engage in the local gay movement, which eventually leads to change in the public identity of the movement. The case of national identity shows that antagonism between the two oppositional nationalisms in Taiwan penetrates identity practices in this domain; cyberspace is no exception. The local political forums become the space for marking, creating and stigmatising the Other. Nevertheless, they also provide the space for negotiated interactions concerning identity-oriented national projects, as well as facilitate dialogues between Chinese and Taiwanese online participants on the question of Taiwan’s future. To conclude, internet forums do not necessarily lead to the devolution of symbolic and political power of their participants. Mainstream discourses still deeply influence the discourses in cyberspace. Grassroots participation in debates concerning social projects may intervene in decision-making; however, this is dependent on the participants’ access to valid information and the decision makers’ attitudes towards the grassroots forums. Finally, while connecting people together, the internet is also disuniting people in spreading antagonisms and animosity

Semi-Supervised Learning For Identifying Opinions In Web Content

Thesis (Ph.D.) - Indiana University, Information Science, 2011Opinions published on the World Wide Web (Web) offer opportunities for detecting personal attitudes regarding topics, products, and services. The opinion detection literature indicates that both a large body of opinions and a wide variety of opinion features are essential for capturing subtle opinion information. Although a large amount of opinion-labeled data is preferable for opinion detection systems, opinion-labeled data is often limited, especially at sub-document levels, and manual annotation is tedious, expensive and error-prone. This shortage of opinion-labeled data is less challenging in some domains (e.g., movie reviews) than in others (e.g., blog posts). While a simple method for improving accuracy in challenging domains is to borrow opinion-labeled data from a non-target data domain, this approach often fails because of the domain transfer problem: Opinion detection strategies designed for one data domain generally do not perform well in another domain. However, while it is difficult to obtain opinion-labeled data, unlabeled user-generated opinion data are readily available. Semi-supervised learning (SSL) requires only limited labeled data to automatically label unlabeled data and has achieved promising results in various natural language processing (NLP) tasks, including traditional topic classification; but SSL has been applied in only a few opinion detection studies. This study investigates application of four different SSL algorithms in three types of Web content: edited news articles, semi-structured movie reviews, and the informal and unstructured content of the blogosphere. SSL algorithms are also evaluated for their effectiveness in sparse data situations and domain adaptation. Research findings suggest that, when there is limited labeled data, SSL is a promising approach for opinion detection in Web content. Although the contributions of SSL varied across data domains, significant improvement was demonstrated for the most challenging data domain--the blogosphere--when a domain transfer-based SSL strategy was implemented