A sentiment-aware approach to community formation in social media

Participating in a community exemplifies the aspect of sharing, networking and interacting in a social media system. There has been extensive work on characterising on-line communities by their contents and tags using topic modelling tools. However, the role of sentiment and mood has not been studied. Arguably, mood is an integral feature of a text, and becomes more significant in the context of social media: two communities might discuss precisely the same topics, yet within an entirely different atmosphere. Such sentiment-related distinctions are important for many kinds of analysis and applications, such as community recommendation. We present a novel approach to identification of latent hyper-groups in social communities based on users’ sentiment. The results show that a sentiment-based approach can yield useful insights into community formation and metacommunities, having potential applications in, for example, mental health—by targeting support or surveillance to communities with negative mood—or in marketing—by targeting customer communities having the same sentiment on similar topics.

Analysing stakeholder-associated risks in green buildings : a social network analysis method

In the research of risk associated with developing energy and water efficient green buildings, previous studies had mainly focused on "what the risks are and how the risks may impact on project objectives", which were from an inward looking self-perspective and treated the risks in isolation from one another. While intensive research efforts have been dedicated to risk identification, assessment, classification, prioritisation and mitigation, a research gap exists, that is previous studies had ignored the fact that most risks are interrelated and associated with internal or external project stakeholders. To remedy the gap, this current research developed and presented a SNA (Social Network Analysis) based stakeholder-associated risk analysis method to assess risks in green buildings and the interactions between the risks. A case study has been conducted to demonstrate and validate this method. This research contributes to the development of a new theory to model the interdependent and interactive relationships of risks by using SNA as a methodology. This research should broaden project managers' awareness of the influential risks in green building and enhance their ability to perceive, understand, assess, and mitigate the risks in an effective and efficient way, thereby achieving higher performance in strategic risk management and stakeholder communication in green building development.

Neighbourhood-pair attack in social network data publishing

Vertex re-identification is one of the significant and challenging problems in social network. In this paper, we show a new type of vertex reidentification attack called neighbourhood-pair attack. This attack utilizes the neighbourhood topologies of two connected vertices. We show both theoretically and empirically that this attack is possible on anonymized social network and has higher re-identification rate than the existing structural attacks.

Social media conflict: platforms for racial vilification, or acts of provocation and citizenship?

Although racism remains an issue for social media sites such as YouTube, this focus often overshadows the site’s productive capacity to generate ‘agonistic publics’ from which expressions of cultural citizenship and solidarity might emerge. This paper examines these issues through two case studies: the recent proliferation of mobile phone video recordings of racist rants on public transport, and racist interactions surrounding the performance of a Maori ‘flash mob’ haka in New Zealand that was recorded and uploaded to YouTube. We contrast these incidents as they are played out primarily through social media, with the case of Australian Football League player Adam Goodes and the broadcast media reaction to a racial slur aimed against him by a crowd member during the AFL’s Indigenous Round. We discuss the prevalence of vitriolic exchange and racial bigotry, but also, and more importantly, the productive and equally aggressive defence of more inclusive and tolerant forms of cultural identification that play out across these different media forms. Drawing on theories of cultural citizenship along with the political theory of Chantal Mouffe, we point to the capacities of YouTube as ‘platform’, and to social media practices, in facilitating ground-up antiracism and generating dynamic, contested and confronting micropublics.

Integrating biological and social values when prioritizing places for biodiversity conservation

The consideration of information on social values in conjunction with biological data is critical for achieving both socially acceptable and scientifically defensible conservation planning outcomes. However, the influence of social values on spatial conservation priorities has received limited attention and is poorly understood. We present an approach that incorporates quantitative data on social values for conservation and social preferences for development into spatial conservation planning. We undertook a public participation GIS survey to spatially represent social values and development preferences and used species distribution models for 7 threatened fauna species to represent biological values. These spatially explicit data were simultaneously included in the conservation planning software Zonation to examine how conservation priorities changed with the inclusion of social data. Integrating spatially explicit information about social values and development preferences with biological data produced prioritizations that differed spatially from the solution based on only biological data. However, the integrated solutions protected a similar proportion of the species' distributions, indicating that Zonation effectively combined the biological and social data to produce socially feasible conservation solutions of approximately equivalent biological value. We were able to identify areas of the landscape where synergies and conflicts between different value sets are likely to occur. Identification of these synergies and conflicts will allow decision makers to target communication strategies to specific areas and ensure effective community engagement and positive conservation outcomes.

The impact of employee perceptions of organizational corporate social responsibility practices on job performance and organizational citizenship behavior: evidence from the Chinese private sector

This paper examines the impact of employee perceptions of organizational corporate social responsibility (CSR) practices on their job performance and organizational citizenship behavior (OCB). Hierarchical regression analysis on two-wave data from 184 supervisor/subordinate dyads from three organizations located in Zhejiang Province, South-East China, revealed that employee perceptions of CSR toward social and non-social stakeholders strongly influenced their OCB. However, employee perceptions of CSR toward employees, customers and government influenced neither their job performance nor OCB.

Consumer reactions to corporate social responsibility (CSR) in Thailand: the moderating effect of competitive positioning

Purpose – The purpose of this paper is to understand the business case for corporate social responsibility (CSR) in Thailand by focusing on the consumer-organisational relationship and test the conceptual framework of Du et al. (2007). Design/methodology/approach – A quantitative study was conducted using a mall intercept survey of 184 Thai mobile phone service provider consumers in Bangkok, Thailand. Findings – A CSR emphasised brand is more likely than non-CSR emphasised brands to accrue consumer CSR awareness, positive attitude to company motivations and beliefs in the CSR of that company. Although beliefs are associated with consumers’ greater identification and advocacy behaviours towards the CSR emphasised brand than the non-CSR emphasised brands, they are not associated with loyalty. Practical implications – The paper provides potential guidance for companies to more effectively position and communicate their CSR activities to create differential advantages. Originality/value – Findings of the study demonstrate some support for a business case for CSR in Thailand.

The impact of socially responsible human resource management on employees' organizational citizenship behaviour: the mediating role of organizational identification

Based on insights from social exchange and social identity theories, this paper examines the influence of three dimensions of socially responsible human resource management (SR-HRM), namely legal compliance HRM, employee-oriented HRM and general CSR facilitation HRM, on employees' organizational citizenship behaviour (OCB). Structural equation modelling of dyadic data collected from Chinese employees and their direct supervisors in three phases revealed that whilst organizational identification fully mediated the relationship between employee-oriented HRM and employee OCB, general CSR facilitation HRM had a direct effect on employee OCB. In contrast, legal compliance HRM neither influenced employee OCB directly, nor indirectly through organizational identification. The findings highlight the important but complex role played by SR-HRM in eliciting positive employee work outcomes, and contribute to our knowledge of the mechanisms underlying this relationship.

Do social values influence levels of conservation effort in threatened species? The case of two Australian chats

This research aims to understand why one of two almost identical subspecies of the Australian yellow chat Ephthianura crocea has received significantly higher levels of local and institutional support than the other despite both having the same conservation status and taxonomic distinctiveness, factors commonly thought to influence conservation effort. Using a qualitative multiple case study approach we explored how a range of social factors, including stakeholder attitudes and institutional, policy and operational aspects, might have affected conservation efforts for the two taxa. Our results suggest that the conservation trajectories of these two subspecies have diverged since their identification as threatened species in 2000 because of differences in the social landscapes within which they persist. For one subspecies local advocacy was kindled initially by the small number of local endemic bird species but developed into a strong emotional engagement, resulting in increased local awareness, government funding, and effectiveness of conservation action. The other subspecies has had to compete for attention with approximately 200 other threatened taxa occurring in its region. No individual advocate has accorded this subspecies a high priority for action, and none of those responsible for its conservation have seen it or acknowledged an emotional attachment to it. Our findings confirm that initiation of conservation effort is strongly tied to the social values of individuals with power to take action, regardless of legislation.

Vertex re-identification attack using neighbourhood-pair properties

There has been a growing interest in sharing and mining social network data for a wide variety of applications. In this paper, we address the problem of privacy disclosure risks that arise from publishing social network data. Specifically, we look at the vertex re-identification attack that aims to link specific vertex in social network data to specific individual in the real world. We show that even when identifiable attributes such as names are removed from released social network data, re-identification attack is still possible by manipulating abstract information. We present a new type of vertex re-identification attack model called neighbourhood-pair attack. This attack utilizes the information about the local communities of two connected vertices to identify the target individual. We show both theoretically and empirically that the proposed attack provides higher re-identification rate compared with the existing re-identification attacks that also manipulate network structure properties. The experiments conducted also show that the proposed attack is still possible even on anonymised social network data.

Social desirability bias in the reporting of alcohol consumption: a randomized trial

OBJECTIVE: To investigate reporting of alcohol consumption, we manipulated the contexts of questions in ways designed to induce social desirability bias. METHOD: We undertook a two-arm, parallel-group, individually randomized trial at an Australian public university. Students were recruited by email to a web-based "Research Project on Student Health Behavior." Respondents answered nine questions about their physical activity, diet, and smoking. They were unknowingly randomized to a group presented with either (A) three questions about their alcohol consumption or (B) seven questions about their alcohol dependence and problems (under a prominent header labeled "Alcohol Use Disorders Identification Test"), followed by the same three alcohol consumption questions from (A). RESULTS: A total of 3,594 students (mean age = 27, SD = 10) responded and were randomized: 1,778 to Group A and 1,816 to Group B. Outcome measures were the number of days they drank alcohol, the typical number of drinks they consumed per drinking day, and the number of days they consumed six or more drinks. The primary analysis included participants with any alcohol consumption in the preceding 4 weeks (1,304 in Group A; 1,340 in Group B) using between-group, two-tailed t tests. RESULTS: In Groups A and B, respectively, means (and SDs) of the number of days drinking were 5.89 (5.92) versus 6.06 (6.12), p = .49; typical number of drinks per drinking day: 4.02 (3.87) versus 3.82 (3.76), p = .17; and number of days consuming six or more drinks: 1.69 (2.94) versus 1.67 (3.25), p = .56. CONCLUSIONS: We could not reject the null hypothesis because earlier questions about alcohol dependence and problems showed no sign of biasing the respondents' subsequent reports of alcohol consumption. These data support the validity of university students' reporting of alcohol consumption in web-based studies.

Anglican identification across the generations: what can census and survey data tell us?

A report on Anglican identity in Australia using census and survey data

Identifying social influence in complex networks: a novel conductance eigenvector centrality model

Identifying influential peers is an important issue for business to promote commercial strategies in social networks. This paper proposes a conductance eigenvector centrality (CEC) model to measure peer influence in the complex social network. The CEC model considers the social network as a conductance network and constructs methods to calculate the conductance matrix of the network. By a novel random walk mechanism, the CEC model obtains stable CEC values which measure the peer influence in the network. The experiments show that the CEC model can achieve robust performance in identifying peer influence. It outperforms the benchmark algorithms and obtains excellent outcomes when the network has high clustering coefficient.