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This chapter provides a brief overview of community sanctions in Australia and examines the extent to which McNeill’s analysis in Pervasive Punishment (2019) is applicable in the Australian context. Two key issues in the Australian context are, firstly, state and territory-level variations within a federal political structure, and secondly, disproportionate Indigenous imprisonment and community sanction rates and the generally destructive impact of the criminal legal system on Indigenous communities and peoples. The chapter argues that developing a better agonistic politics around community sanctions requires descending from the broad level of historical and sociological analysis to examine state and territory-level variations in judicial and correctional structures, histories and cultures. Further, that Australian community sanctions cannot be understood without a primary focus on the differences between Indigenous and non-Indigenous rates, experiences and meaning. The key to addressing the destructive impact of criminal legal processes and practices on Indigenous peoples lies in developing Indigenous governance, empowerment, self-determination, sovereignty and nation-building. Two recent developments promoting Indigenous governance are examined: the Uluru Statement from the Heart and Justice Reinvestment projects initiated by First Nations communities, highlighting the importance of activism, contest and struggle by community organisations.

In this concluding chapter of the handbook, the authors first revisit the conceptual focus of this handbook with a brief overview of research literature on wellbeing, using a common conceptual approach that identifies the dimensions of wellbeing and then provide an overview of literature that both addresses and imagines the wellbeing with students, faculty, staff, leadership, and institutional levels in mind. Finally, the authors will proffer that there is a need for agentic moral imagination to sustain and progress the cause of wellbeing in higher education.

Social media offers youth a virtual platform to build community and amplify underrepresented voices. Online spaces are often used to respond to societal issues and adopt various roles. This article aims to focus on Laura's case, spotlighting the intersection of online activism by a youth of Color, and social media literacies used to demonstrate civic engagement around contemporary social justice issues.

Through case study methods, the author examined how a youth of Color used social media to employ critical literacy practices as tools for civic engagement, advocating for social justice, and navigating the complexities of identity work in online spaces, spotlighting Laura, a self-identified Mexican and Ecuadorian Latine 18-year-old activist, to understand how social media shapes multimodal literacy practices, how youth build culture, engage in literacies and craft civic identities online.

Findings examine Laura’s social media literacies toward social justice activism, contributing to the understanding of youth activism, digital identity and civic engagement. Findings will also examine how Laura enacts online literacy practices related to her racialized identities, and how she engages in activism and civic participation related to social justice issues. These findings contribute to the understanding of youth activism, digital identity and civic engagement.

This paper focuses on Laura’s practices within the larger frame of politics, digital space and youth culture. Moreover, it also highlights the potential of youths' multifaceted social media literacies to redefine the educator's role by fostering youth identity and social justice literacies.

This paper studies the association between earnings opacity and corporate social responsibility disclosures of firms listed on the Vietnamese Stock Exchange.

We utilize a dataset comprising a sample of all listed Vietnamese firms for the period of 2014–2022. Data regarding corporate social responsibility information are gathered manually. Following Dechow et al. (1995), Kothari et al. (2005) and Bhattacharya et al. (2003), earnings opacity is measured by using three proxies, including abnormal accruals, earnings smoothing and loss avoidance. Our hypothesis was tested via ordinary least squares (OLS) regressions. To address endogeneity problems, we use the two-stage instrumental variable method (IV-2SLS) as well as the generalized method of moments (GMM) to ensure the robustness of our results.

We find that earnings opacity is positively related to corporate social responsibility disclosures. Cross-sectional analyses indicate that managers of firms disguise their opportunistic behaviour by disclosing more information about corporate social responsibility. The evidence also shows that firms experience long-run underperformance when having higher earnings opacity and greater sustainability disclosures. Our results remain robust even after correcting for endogeneity using the IV approach and the GMM method.

Evidence from this study can serve as a warning signal to the investment community, highlighting that some methods aimed at enhancing a firm’s corporate social responsibility disclosures might be used to obstruct other unethical activities. Moreover, the results of this study can help regulators gain a better comprehension of firms' reporting patterns concerning corporate social responsibility initiatives. It should not only reform the corporate social responsibility regulation but also impose stronger litigation for firms to enhance the quality of corporate social responsibility disclosures.

We are the first to present evidence regarding the relationship between earnings opacity and corporate social responsibility disclosure in Vietnam.

This study aims to uncover the ongoing discourse on generative artificial intelligence (AI), literacy and governance while providing nuanced perspectives on stakeholder involvement and recommendations for the effective regulation and utilization of generative AI technologies.

This study chooses generative AI-related online news coverage on BBC News as the case study. Oriented by a case study methodology, this study conducts a qualitative content analysis on 78 news articles related to generative AI.

By analyzing 78 news articles, generative AI is found to be portrayed in the news in the following ways: Generative AI is primarily used in generating texts, images, audio and videos. Generative AI can have both positive and negative impacts on people’s everyday lives. People’s generative AI literacy includes understanding, using and evaluating generative AI and combating generative AI harms. Various stakeholders, encompassing government authorities, industry, organizations/institutions, academia and affected individuals/users, engage in the practice of AI governance concerning generative AI.

Based on the findings, this study constructs a framework of competencies and considerations constituting generative AI literacy. Furthermore, this study underscores the role played by government authorities as coordinators who conduct co-governance with other stakeholders regarding generative AI literacy and who possess the legislative authority to offer robust legal safeguards to protect against harm.