Ethnic diversity and its impact on community social cohesion and neighborly exchange

Putnam's “constrict theory” suggests that ethnic diversity creates challenges for developing and sustaining social capital in urban settings. He argues that diversity decreases social cohesion and reduces social interactions among community residents. While Putnam's thesis is the subject of much debate in North America, the United Kingdom, and Europe, there is a limited focus on how ethnic diversity impacts upon social cohesion and neighborly exchange behaviors in Australia. Employing multilevel modeling and utilizing administrative and survey data from 4,000 residents living in 148 Brisbane suburbs, we assess whether ethnic diversity lowers social cohesion and increases “hunkering.” Our findings indicate that social cohesion and neighborly exchange are attenuated in ethnically diverse suburbs. However, diversity is less consequential for neighborly exchange among immigrants when compared to the general population. Our results provide at least partial support for Putnam's thesis.

Habituated interaction and social objects

In this position paper we draw from critical approaches to the concept of habit from cultural theory to argue that considering the sociality of everyday objects might be productive for understanding and designing for habituated interaction within the emerging Internet of Things.

A rule-based hybrid method for anomaly detection in online-social-network graphs

Detecting anomalies in the online social network is a significant task as it assists in revealing the useful and interesting information about the user behavior on the network. This paper proposes a rule-based hybrid method using graph theory, Fuzzy clustering and Fuzzy rules for modeling user relationships inherent in online-social-network and for identifying anomalies. Fuzzy C-Means clustering is used to cluster the data and Fuzzy inference engine is used to generate rules based on the cluster behavior. The proposed method is able to achieve improved accuracy for identifying anomalies in comparison to existing methods.

Social media and tacit knowledge sharing : physicians' perspectives and experiences

Tacit knowledge sharing amongst physicians is known to have a significant impact on the quality of medical decisions. This thesis posits that social media can provide new opportunities for tacit knowledge sharing amongst physicians, and demonstrates this by presenting findings from a review of relevant literature and a qualitative survey conducted with physicians. Using thematic analysis, the study revealed five major themes and over twenty sub-themes as potential contributions of social media to tacit knowledge flow amongst physicians.

Social tagging, guppy effect and the role of interference : a quantum-inspired model for tags combination

Social tagging systems are shown to evidence a well known cognitive heuristic, the guppy effect, which arises from the combination of different concepts. We present some empirical evidence of this effect, drawn from a popular social tagging Web service. The guppy effect is then described using a quantum inspired formalism that has been already successfully applied to model conjunction fallacy and probability judgement errors. Key to the formalism is the concept of interference, which is able to capture and quantify the strength of the guppy effect.

Producing while consuming: Social interaction around photos shared within private group

User-generated content plays a pivotal role in the current social media. The main focus, however, has been on the explicitly generated user content such as photos, videos and status updates on different social networking sites. In this paper, we explore the potential of implicitly generated user content, based on users’ online consumption behaviors. It is technically feasible to record users’ consumption behaviors on mobile devices and share that with relevant people. Mobile devices with such capabilities could enrich social interactions around the consumed content, but it may also threaten users’ privacy. To understand the potentials of this design direction we created and evaluated a low-fidelity prototype intended for photo sharing within private groups. Our prototype incorporates two design concepts, namely, FingerPrint and MoodPhotos that leverage users’ consumption history and emotional responses. In this paper, we report user values and user acceptance of this prototype from three participatory design workshops.

Evaluation and social impact measurement amongst small to medium social enterprises : process, purpose and value

In recent years, the imperative to communicate organisational impacts to a variety of stakeholders has gained increasing importance within all sectors. Despite growing external demands for evaluation and social impact measurement, there has been limited critically informed analysis about the presumed importance of these activities to organisational success and the practical challenges faced by organisations in undertaking such assessment. In this paper, we present the findings from an action research study of five Australian small to medium social enterprises’ practices and use of evaluation and social impact analysis. Our findings have implications for social enterprise operators, policy makers and social investors regarding when, why and at what level these activities contribute to organisational performance and the fulfilment of mission.

Experimenting with the future of journalism : social capital as a desideratum for networked journalism research

The aim of this article is to position social capital as a theoretical framework for investigating online communities, specifically pro-am operations. It will review pertinent literature on social capital and the future of journalism in this context, and detail how the broader field of Sociology and this dynamic field of Journalism converge to produce a unique opportunity for pro-am research. Currently, much concern has been expressed regarding the future of journalism institutions in society, and while journalism itself is seen as a cornerstone of democracy, the form of structures that facilitate such practice has been questioned. Compounding this problem is a lack of research that produces data suitable for meta-analysis. For example, case-study data of start-up operations in this volatile field do not provide sufficient grounds for conclusions that could result in evidence-based policy. In response to these dynamics, this article will propose experimentation as a method of research for pro-am start-ups.

Social Media Analytics : Ein interdisziplinärer Ansatz und seine Implikationen für die Wirtschaftsinformatik [Social Media Analytics - An Interdisciplinary Approach and Its Implications for Information Systems]

Social Media Analytics ist ein neuer Forschungsbereich, in dem interdisziplinäre Methoden kombiniert, erweitert und angepasst werden, um Social-Media-Daten auszuwerten. Neben der Beantwortung von Forschungsfragen ist es ebenfalls ein Ziel, Architekturentwürfe für die Entwicklung neuer Informationssysteme und Anwendungen bereitzustellen, die auf sozialen Medien basieren. Der Beitrag stellt die wichtigsten Aspekte des Bereichs Social Media Analytics vor und verweist auf die Notwendigkeit einer fächerübergreifenden Forschungsagenda, für deren Erstellung und Bearbeitung der Wirtschaftsinformatik eine wichtige Rolle zukommt.

Social media analytics: an interdisciplinary approach and its implications for information systems

Social Media Analytics is an emerging interdisciplinary research field that aims on combining, extending, and adapting methods for analysis of social media data. On the one hand it can support IS and other research disciplines to answer their research questions and on the other hand it helps to provide architectural designs as well as solution frameworks for new social media-based applications and information systems. The authors suggest that IS should contribute to this field and help to develop and process an interdisciplinary research agenda.

Identifying the Events That Connect Social Media Users : Charting Follower Accession on Twitter

Twitter is the focus of much research attention, both in traditional academic circles and in commercial market and media research, as analytics give increasing insight into the performance of the platform in areas as diverse as political communication, crisis management, television audiencing and other industries. While methods for tracking Twitter keywords and hashtags have developed apace and are well documented, the make-up of the Twitter user base and its evolution over time have been less understood to date. Recent research efforts have taken advantage of functionality provided by Twitter's Application Programming Interface to develop methodologies to extract information that allows us to understand the growth of Twitter, its geographic spread and the processes by which particular Twitter users have attracted followers. From politicians to sporting teams, and from YouTube personalities to reality television stars, this technique enables us to gain an understanding of what prompts users to follow others on Twitter. This article outlines how we came upon this approach, describes the method we adopted to produce accession graphs and discusses their use in Twitter research. It also addresses the wider ethical implications of social network analytics, particularly in the context of a detailed study of the Twitter user base.

Partial mediation role of self-efficacy between positive social interaction and mental health in family caregivers for dementia patients in Shanghai

We explored the mediation effect of caregiver self-efficacy on the influences of behavioral and psychological symptoms (BPSD) of dementia care recipients (CRs) or family caregivers’ (CGs) social supports (informational, tangible and affectionate support and positive social interaction) on CGs’ mental health. We interviewed 196 CGs, using a battery of measures including demographic data of the dyads, CRs’ dementia-related impairments, and CGs’ social support, self-efficacy and the Medical Outcome Study (MOS) Short-Form (SF-36) Health Survey. Multiple regression analyses showed that gathering information on self-efficacy and managing CG distress self-efficacy were the partial mediators of the relationship between positive social interaction and CG mental health. Managing caregiving distress self-efficacy also partial mediated the impact of BPSD on CG mental health. We discuss implications of the results for improving mental health of the target population in mainland China.

A participatory framework for researching and evaluating communication for development and social change

The growing dominance of project planning cycles and results-based management in development over the past 20 years has significant implications for the effective evaluation of communication for development and social change and the sustainability of these processes. These approaches to development and evaluation usually give priority to the linear, logical framework (or log frame) approach promoted by many development institutions. This tends to emphasize upward accountability approaches to development and its evaluation, so that development is driven by exogenous rather than endogenous models of development and social change. Such approaches are underpinned by ideas of preplanning, and predetermination of what successful out -comes look like. In this way, outcomes of complex interventions tend to be reduced to simple, cause-effect processes and the categorization of things, including people (Chambers and Pettit 2004; Eyben 2011). This runs counter to communication for development approaches, which prioritize engagement, relationships, empowerment and dialogue as important components for positive social change.

Sustaining social innovation enterprises through a design led innovation framework

Constant changes in the global economic environment require companies to revisit traditional assumptions about how businesses create and capture value (Teece, 2010). In recent years, management practice literature has focused largely on better understanding business models and business model innovation (Amit, Zott and Massa, 2010; Johnson, Christensen and Kagermann, 2008). Much has been written on the benefits of linking design and design thinking to organisational strategies and business transformation. However, very little has been researched and reported on regarding the impact of design led approaches to triple bottom-line opportunities such as, social innovation enterprise. In the context of this paper Design Led Innovation is defined as the tools and approaches which enable design thinking to be embedded as an element of cultural transformation within a business. Being Design Led requires a company to have a vision for top line growth founded on deep customer insights and expanded through customer and stakeholder engagements. The outcomes of this are then mapped to all aspects of the business, enabling the vision to be successfully implemented and achieved. It is the latter part of this definition where we believe Design Led Innovation has the greatest value in transforming social innovation enterprise into a sustainable business venture. However, we also acknowledge that enabling these firms to think strategically about their business model is difficult given the unique operational and funding challenges that often characterize many social enterprises. The purpose of this paper, therefore, is to pose the question, do sustainable innovation enterprise innovate their business model? And if so, how? It is the authors’ opinion that such enterprises only innovate at the product or system level without a complete understanding of the business model structure, which underpins the long term viability. However, in this paper we challenge this notion and explore if such firms can overcome their size and operational constraints to become sustainable enterprises using a design led approach. This is achieved through contextualizing business model innovation, briefly defining social innovation enterprise and profiling a new and emerging industry in Australia – Clean Technology. Future research challenges and opportunities are also presented.

Workplace surfaces as resource for social interactions

Space and spatial arrangements play an important role in our everyday social interactions. The way we use and manage our surrounding space is not coincidental, on the contrary, it reflects the way we think, plan and act. Within collaborative contexts, its ability to support social activities makes space an important component of human cognition in the post-cognitive era. As technology designers, we can learn a lot by rigorously understanding the role of space for the purpose of designing collaborative systems. In this paper, we describe an ethnographic study on the use of workplace surfaces in design studios. We introduce the idea of artful surfaces. Artful surfaces are full of informative, inspirational and creative artefacts that help designers accomplish their everyday design practices. The way these surfaces are created and used could provide information about how designers work. Using examples from our fieldwork, we show that artful surfaces have both functional and inspirational characteristics. We indentify four types of artful surfaces: personal, shared, project-specific and live surfaces. We believe that a greater insight into how these artful surfaces are created and used could lead to better design of novel display technologies to support designers’ everyday work.