The purpose of this study was to better understand sexual development during the transition to adulthood. Previous research was extended by testing models that examined direct effects of romantic attachment and social support on emerging adults’ sexual outcomes, as well as models that examined the mediating role of sexual motivations in those associations. Undergraduate students (n = 290, 66% female) completed questionnaires that assessed romantic attachment, social support, sexual motives, risky sexual behaviors, and health-promoting sexual beliefs. Results indicated romantic attachment strongly predicted sexual functioning, such that higher levels of attachment insecurity were associated with fewer health-promoting sexual beliefs and more risky sexual behaviors. Attachment anxiety was most closely associated with sexual outcomes for females, while attachment avoidance was a stronger predictor of sexual outcomes for males. Furthermore, coping but not intimacy motivations were found to partially mediate the link between attachment anxiety and health-promoting sexual beliefs for females. Although overall relationships between social support and sexual outcomes were not significant as hypothesized, links between specific support sources and sexual outcomes emerged during further analysis. Conclusions underscore the usefulness of attachment theory as a framework for understanding sexual behavior and provide further support for the importance of considering gender differences when examining the interplay between the attachment and sexual systems. Practical implications for sexual health prevention and intervention efforts are discussed.

Social network sites (SNSs) have become very popular, with more than 1.39 billion people using Facebook alone. The ability to share large amounts of personal information with these services, such as location traces, photos, and messages, has raised a number of privacy concerns. The popularity of these services has enabled new research directions, allowing researchers to collect large amounts of data from SNSs to gain insight into how people share information, and to identify and resolve issues with such services. There are challenges to conducting such research responsibly, ensuring studies are ethical and protect the privacy of participants, while ensuring research outputs are sustainable and can be reproduced in the future. These challenges motivate the application of a theoretical framework that can be used to understand, identify, and mitigate the privacy impacts of emerging SNSs, and the conduct of ethical SNS studies. In this thesis, we apply Nissenbaum's model of contextual integrity to the study of SNSs. We develop an architecture for conducting privacy-preserving and reproducible SNS studies that upholds the contextual integrity of participants. We apply the architecture to the study of informed consent to show that contextual integrity can be leveraged to improve the acquisition of consent in such studies. We then use contextual integrity to diagnose potential privacy violations in an emerging form of SNS.

Submitted in fulfilment of the requirements for the degree of Master of the Arts (Media Studies) in the Faculty of Humanities University of the Witwatersrand, March, 2017 / Many young black aspirational South African women are involved in the construction of their identities, and their ideal selves, through their self-display on Instagram. Within the framework of certain hegemonic structures, these women are seen exercising their ‘freedom’ within a post-feminist setting, as neoliberal citizens, and thus striving for a sense of empowerment from this engagement. This project explores the self-display of 10 of these young women that have each accumulated more than 10,000 followers on Instagram. Semi-structured interviews were conducted with each of them, and their Instagram images were analysed, in order to find out how their online performances relate to consumption and global celebrity culture, and how these ideologies are depicted in their images. They draw inspiration from certain black female celebrities such as Beyoncé and Rihanna, and their emulation of these celebrities is used in their identity construction. They do this by displaying a lifestyle of glamorous consumption by incorporating certain exclusive brands and fashionable items into their online presentation. Additionally, they modify and model themselves to fit a specific beauty ideal, which is characterized by long straight hair, fair skin and a curvaceous body. By doing all of this, these young women are, by their own definition attaining a level of ‘success’, and achieve the status of ‘Insta-Celeb’ by the Instagram community. The ideological frameworks on which this construction is built, involves a collective imperative to be liked and accepted by their online followers, the desire for status, and the contradictory creation of a faux idea of female empowerment that is, in reality, not actually as free as it seems. / XL2018

Online social networks (OSNs) are Web platforms providing different services to facilitate social interaction among their users. A particular kind of OSNs is the location-based social network (LBSN), which adds services based on location. One of the most important challenges in LBSNs is the link prediction problem. Link prediction problem aims to estimate the likelihood of the existence of future friendships among user pairs. Most of the existing studies in link prediction focus on the use of a single information source to perform predictions, i.e. only social information (e.g. social neighborhood) or only location information (e.g. common visited places). However, some researches have shown that the combination of different information sources can lead to more accurate predictions. In this sense, in this thesis we propose different link prediction methods based on the use of different information sources naturally existing in these networks. Thus, we propose seven new link prediction methods using the information related to user membership in social overlapping groups: common neighbors within and outside of common groups (WOCG), common neighbors of groups (CNG), common neighbors with total and partial overlapping of groups (TPOG), group naïve Bayes (GNB), group naïve Bayes of common neighbors (GNB-CN), group naïve Bayes of Adamic-Adar (GNB-AA) and group naïve Bayes of Resource Allocation (GNB-RA). Due to that social groups exist naturally in networks, our proposals can be used in any type of OSN.We also propose new eight link prediction methods combining location and social information: Check-in Observation (ChO), Check-in Allocation (ChA), Within and Outside of Common Places (WOCP), Common Neighbors of Places (CNP), Total and Partial Overlapping of Places (TPOP), Friend Allocation Within Common Places (FAW), Common Neighbors of Nearby Places (CNNP) and Nearby Distance Allocation (NDA). These eight methods are exclusively for work in LBSNs. Obtained results indicate that our proposals are as competitive as state-of-the-art methods, or better than they in certain scenarios. Moreover, since our proposals tend to be computationally more efficient, they are more suitable for real-world applications. / Redes sociais online (OSNs) são plataformas Web que oferecem serviços para promoção da interação social entre usuários. OSNs que adicionam serviços relacionados à geolocalização são chamadas redes sociais baseadas em localização (LBSNs). Um dos maiores desafios na análise de LBSNs é a predição de links. A predição de links refere-se ao problema de estimar a probabilidade de conexão futura entre pares de usuários que não se conhecem. Grande parte das pesquisas que focam nesse problema exploram o uso, de maneira isolada, de informações sociais (e.g. amigos em comum) ou de localização (e.g. locais comuns visitados). Porém, algumas pesquisas mostraram que a combinação de diferentes fontes de informação pode influenciar o incremento da acurácia da predição. Motivado por essa lacuna, neste trabalho foram desenvolvidos diferentes métodos para predição de links combinando diferentes fontes de informação. Assim, propomos sete métodos que usam a informação relacionada à participação simultânea de usuários en múltiples grupos sociais: common neighbors within and outside of common groups (WOCG), common neighbors of groups (CNG), common neighbors with total and partial overlapping of groups (TPOG), group naïve Bayes (GNB), group naïve Bayes of common neighbors (GNB-CN), group naïve Bayes of Adamic-Adar (GNB-AA), e group naïve Bayes of Resource Allocation (GNB-RA). Devido ao fato que a presença de grupos sociais não está restrita a alguns tipo de redes, essas propostas podem ser usadas nas diversas OSNs existentes, incluindo LBSNs. Também, propomos oito métodos que combinam o uso de informações sociais e de localização: Check-in Observation (ChO), Check-in Allocation (ChA), Within and Outside of Common Places (WOCP), Common Neighbors of Places (CNP), Total and Partial Overlapping of Places (TPOP), Friend Allocation Within Common Places (FAW), Common Neighbors of Nearby Places (CNNP), e Nearby Distance Allocation (NDA). Tais propostas são para uso exclusivo em LBSNs. Os resultados obtidos indicam que nossas propostas são tão competitivas quanto métodos do estado da arte, podendo até superá-los em determinados cenários. Ainda mais, devido a que na maioria dos casos nossas propostas são computacionalmente mais eficientes, seu uso resulta mais adequado em aplicações do mundo real.

本研究通过对于过往社会网络和社会资本的相关研究的梳理，提出了社会网络发生作用的机制问题，并通过对于广东珠三角企业的数据模型化分析和定性材料分析，来从策略和门槛两个方面回答了这个问题：从策略方面看，企业要有效发展社会网络，在抓住关键社会网络关系的基础上发展全面的社会网络是对于其效益提升起到最良好作用的策略。而从门槛方面来看，社会网络的作用并不是对于所有企业都是有效的，总体而言社会网络对于具有高行业技术自主性的行业里的企业有正向作用，而对于处于具有低行技术自主性的企业沒有显著作用，这也就是社会网络作用的第一道自主性门槛；而对于处于高技术自主性行业的企业而言，社会网络对于高企业技术自主性的企业的经济效益的正向作用大于对于低企业技术自主性的企业的作用，这就是社会网络作用的第二道自主性门槛 。 / Detailed summary in vernacular field only. / 任慧岩. / Thesis (M.Phil.) Chinese University of Hong Kong, 2014. / Includes bibliographical references (leaves 58-64). / Ren Huiyan.

by Wong Yuk Lin, Renita. / Thesis (M.Ph.)--Chinese University of Hong Kong, 1987. / Bibliography: leaves 115-122.

Cui, Jiaying. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 410-426). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese.

Submitted by Elba Lopes (elba.lopes@fecap.br) on 2017-09-20T14:38:48Z No. of bitstreams: 2 Simone Ferreira e Silva.pdf: 1191981 bytes, checksum: 7ad61f8339d058f729c68691353fd8b7 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-09-20T14:38:48Z (GMT). No. of bitstreams: 2 Simone Ferreira e Silva.pdf: 1191981 bytes, checksum: 7ad61f8339d058f729c68691353fd8b7 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2016-08-30 / The purpose of this research was to analyze the structure of the social network of the scientific production in four publications in the English language in Behavioral Finance in the period of 2011 to 2015. To achieve this purpose, bibliometric and sociometric studies were conducted based on 261 articles from the EBSCOHost data base which contained the expressions: behavior (including variations like behavior, behavioral, behavioural), limits to (of) arbitrage, cognitive biases, overconfidence, optimism, catering, market timing and prospect theory in the titles, key-words or abstracts. Afterwards, it was performed a bibliometric analysis of the most prolific and cited researchers and institutions, the social network they belong to, the indexes of density, the centrality of degree and betweeness, the centralization, closeness and structural holes. The social network analysis indexes made it possible to point Goetzmann as the author of the central positioning in the network, nevertheless there is no researchers elite in Behavioral Finance in periodicals and period studied. As for the institutions, the elite does exist and is made up by actors with relevant position in the network, mainly the Center of Economic Policy Research and The National Buereu of Economic Research. The results of this research may contribute to the development of the scientific production in Behavioral Finance both national and international, and benefit all who direct or indirectly are related to this field, either academic or professional. / Esta pesquisa teve como objetivo analisar a estrutura da rede social formada pela produ????o cient??fica em quatro publica????es em l??ngua inglesa na ??rea de Finan??as Comportamentais no per??odo de 2011 a 2015. Para atingi-lo, foi realizado um estudo bibliom??trico e sociom??trico com 261 artigos da base de dados EBSCOHost que continham as express??es: behavior (incluindo varia????es como behaviour, behavioral, behavioural), limits to (of) arbitrage, cognitive biases, overconfidence, optimism, catering, market timing e prospect theory em seus t??tulos, palavras-chave ou resumos. Posteriormente, procedeu-se ?? an??lise bibliom??trica de pesquisadores e institui????es mais prol??ficos e citados, das redes sociais por eles formadas e dos ??ndices de densidade, centralidade de grau e de intermedia????o, centraliza????o, proximidade e lacunas estruturais. Os ??ndices da an??lise de redes sociais permitiram apontar Goetzmann como autor de posicionamento central na rede, por??m n??o existe uma elite de pesquisadores em Finan??as Comportamentais nos peri??dicos e per??odo delimitado. J?? quanto ??s institui????es, a elite existe e ?? formada por atores com posi????o relevante na rede, principalmente o Centre of Economic Policy Research e a The National Bureau of Economic Research. Os resultados desta pesquisa poder??o contribuir para o desenvolvimento da ??rea da produ????o cient??fica em Finan??as Comportamentais nacional e internacional, al??m de beneficiar todos que, direta ou indiretamente, relacionam-se com esse campo, nos ??mbitos tanto acad??mico quanto profissional.

While IS research into on-line Inter-Personal (IP) Social Networks (SN) is highly visible, there has been surprisingly little focus on the use of on-line social networks for Inter-Organizational (IO) communications, interactions, and goal achievement. We explore the issues and challenges facing organizations in their design and use of inter-organizational social network information systems (IO SNIS). Artifact design principles are drawn from a new and insightful model that contrasts the advantages of existing innovative inter-personal (IP) SNIS artifacts with Social Network Theory on differences between IP and IO Social Networks. This research extends the existing streams of IS social networking research into the inter-organizational domain and encourages additional IS research into the analysis, design, and build of artifacts that animate the social behavior of organizations. We develop a key design concept for IO SNIS and establish the design principles underlying the general artifact design and the specific design features that apply the design constructs to an exemplar IO social domain. This dissertation uses Action Design Research (ADR) approach within the Design Science Research (DSR) paradigm to formulate the research opportunity and anticipate a practice-inspired and theory-ingrained artifact. The researcher works with a practitioner team in the domain of mid-market private equity (MMPE) to explore the model and evaluate existing on-line inter-organizational artifacts to establish specific design features for an IO SNIS artifact. We find that the design principles can generalize from the IO SNIS Design Concept Model to other IO Social domains and that the design features can be used to build an instantiation of IO SNIS in the Private Equity domain.

How are technologies are designed and used tactically by activists? As the HCI community starts to contend with social inequalities, there has been debate about how HCI researchers should address approach this type of research. However, there is little research examining practitioners such as social justice activists who confront social problems, and are using technology, such as mobile phones, blogging, and social media to do so. In this dissertation, I build on this knowledge within the context of a social movement organization working to stop street harassment (harassment towards women and minorities in public) called Hollaback (ihollaback.org). I position myself as an action researcher doing research and building technologies such as mobile apps and a blogging platform to collect stories of harassment and to support activists. The organization has collected over 3000 stories and represents 50 different locales in 17 countries. Through a series of studies, I examined how technology impacts the organization, activists, and those who contribute stories of harassment. I found evidence that the storytelling platform helps participants fundamentally shift their cognitive and emotional orientation towards their experience and informs what activists do on the ground. My results suggest that doing activism using technology can help remove some barriers to participation but can also lower expectations for the amount of work required. I also looked at how different social media tactics can increase the number of followers and how traditional media plays a role in these tactics. My work contributes theoretically to the HCI community by building on social movement theory, feminist HCI, and action research methodology. My investigation also sheds light empirically on how technology plays a role in a social movement organization, and how it impacts those who participate.