Online social networks have gained tremendous attention. People learn new knowledge from their online role models, and reshare information causing cascades of online information sharing. Disinformation can also be shared rapidly, and it is difficult to disambiguate the real the fake news on OSNs. Traditional social behavioral theories often fail to fully explain social behavior online due to the discrepancy between how people communicate online versus offline. Modeling information exchange and propagation on OSNs is critical across a variety of domains from business to politics. Many approaches to modeling online social behavior leverage manual pattern matching, semantic networks, and traditional machine learning techniques, where the estimated modeling itself is static. This dissertation proposes a temporal perspective to examine the patterns of online social behavior with deep neural network learning based approaches. The objective of this dissertation is to implement a deep network learning framework that effectively addresses the temporal aspect of online social behavior. The dissertation consists of three articles. All of these articles study online social behavior in a specific context and each one focuses on a different aspect of the online social behavior. Chapter 4 tests the ability of recurrent neural networks to detect online disinformation in financial text data. This study used a temporal recurrent neural network to simultaneously model textual and temporal features and examine their relationships with stock price movement to gain a deeper understanding of how disinformation effects online social behavior. Chapter 5 examined the impact of "influencer effects" in distributed project management. Based on social learning theory, this study utilized deep network dynamics to examine how people learn from their role models in the form of triadic effect. Chapter 6 considers the diffusion aspect in online social behavior and proposes a novel temporal cascade deep network learning model to identify the depth, breath and scale of the diffusion process. In the proposed model, large-scale high-fidelity cascades are simulated to illustrate these sophisticated interactions within different populations. This overarching goal of this dissertation is to model the following: online social behavior in a variety of domains, the effects of influencers on information dissemination, and to quantify the capability of disinformation detection via state-of-the-art recurrent neural networks.

This research addresses a gap in the continuum of media studies as they relate to energy and politics, which have always been entwined. With each new source of energy or technology, a new form of social dynamics emerges. This study explores the role of media, during the Pennsylvania coal strike of 1902 and the ensuing shifts in political power. Its main hypothesis is – if media helps to shape politics, then its coverage of the 1902 Pennsylvania coal strike, had a hand in delivering democracy to a working proletariat. Using a variety of instruments, and a qualitative-cross over approach, media's role in the 1902 coal strike is explored. Four levels of triangulation, including 3 methods of research are used to analyse 2 datasets. Critical discourse analysis, which maps text, discursive practice and social elements, makes up 2 of the methods; namely transitivity for linguistic texts and a multimodal analysis for the visual text. The 3rd method is a thematic analysis of the global news articles that appeared circa 1902. Each research question entails its own process of triangulation. The terrain of media ideology is probed by triangulating 3 texts: an editorial article, a letter to the editor and a cartoon. They all tackle the 1st research question: • What were the ideologies revealed in visual or lexical patterns, that shaped the discursive composition of reality within media reports during the 1902 coal strike? Then, the 2nd dataset triangulates 3 locations to address the 2nd research question: • What role did media play in the global spread of social democracy? It was found that media discourse unveiled a new ideology within the discursive climate, which influenced society. Ultimately, it shifted the power base. It was also found that media acted globally, triggering wider power contestations. This study will show how media drew on ideology (implicitly or explicitly) to construct meaning around fossil energy politics. It also reveals how global media coverage eased information flows, during the initial wave of democracy and how Timothy Mitchell's conception – ‘carbon democracy' was made possible. Unveiling media's role, helps to unpack its potential in ushering in any new configurations of political power and energy justice, especially as an uptick in renewables is now on record.

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La OMC patología común en países subdesarrollados conlleva a elevar los gastos tanto de los sectores públicos como privados del sector salud, debido sobre todo a ser una patología con tratamiento quirúrgico. Así la reintervención quirúrgica en dichos pacientes por recidiva de la enfermedad, es decir nueva presencia de perforación timpánica elevaría en mayor medida el gasto tanto económico como social al comportarse como una enfermedad con un fondo discapacitante. Por tal motivo la finalidad de la presente tesis es determinar los factores asociados a la recidiva de la OMC en pacientes reoperados, lo cual nos permitirá tenerlos en cuenta en futuras intervenciones quirúrgicas sobre todo a aquellos pacientes que se intervienen por primera vez, conllevando a una disminución en los costos hospitalarios y reincorporación del paciente al sector productivo. / Tesis de segunda especialidad

Implicit in the use of the target audience concept is the assumption that audiences are highly segmented. Yet media don't deliver the 'unique' audience they claim to. This research provides evidence that genuine audience niches are often hard to find, thus is expected to challenge entrenched assumptions about audience targeting.

This study is designed to look into how agricultural biotechnology is covered by Indian newspapers. A through study of the literature showed that agricultural biotechnology is a much debated topic and there is a vast difference between the concerns expressed by its opponents in developed countries and those expressed by the opponents in developing countries. The research question was whether the sources used in an article determined the way in which this issue is framed. After conducting a content analysis of all articles written in Times of India between the time periods January 2001 - December 2003, it was found that the sources used did determine the way this issue was framed.

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This thesis is a theoretically based critical analysis that aims to explore the effects of media on young people and provide a deeper understanding of the processes of media education associated with critical thinking, creativity, and identity formation through active engagement of youth in digital media production. This critical analysis is informed by the insights from critical social theory (including Frankfurt Schools critical theory and postmodernist thought), and a Whiteheadian perspective in process philosophy for lifelong learning. This research explores the argument towards different views from different assumptions about media effects on young viewers and alternative approaches to media education. This thesis offers a basis upon which to synthesize positive insights from all current media pedagogical approaches into a more cohesive, critical, exploratory, and creative practices of media education. It can potentially offer possibilities in developing critical thinking, critical creativity, and a sense of fulfillment for lifelong learning. The synthesis of this thesis is towards rethinking the creativity as having a vital role in lifelong learning through the creative process of youth media production.