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Social work and public health have always shared a common mission and vision in promoting human health. However, existing research tends to view social work and public health as two separate fields at both practice and policy levels, and these studies have largely neglected the consideration of how to integrate public health and social work. In the context of the COVID-19 epidemic, the link between the two has been strengthened and health social work has been given more importance. The question addressed in this article is through what mechanisms or practices the social work profession can strengthen its professional status and engage in interprofessional collaboration. Based on key informant interviews and case studies (one community and two cabin Hospitals), this study points out that three legitimacy mechanisms are needed: operationalizing policy, extending value, and completing justification. Furthermore, the future and possible limitations in relation to the development of health social work in China are discussed and specific recommendations are provided. Health social work needs to conduct practices and summarize its experiences and methods, to create a more friendly political environment by translating its results into policies that are conducive to the development of health social work through a political agenda. It needs to improve upon its practical abilities and methodologies, as well as professional education relating to professional values and ethics, in addition to identifying the deeper social needs of residents and discovering new, undeveloped areas of service. Moreover, because long-term change is difficult to justify due to China's policy agendas, the question of whether the professional status of health social work in the post-epidemic context can be improved is something that needs to be further explored in future studies.

Despite a recent surge in the literature on the far right, there has been a theoretical gap in studying the relationship between the dynamics of change in the far right and the changing digital landscape. Drawing on a set of interrelated concepts developed in far-right studies, social movement studies, and media and communication studies, this theoretical paper adopts a framework based on the concepts of digital network repertoires and the mediation opportunity structure to discuss the ways in which various actors on the far right – reactionary conservatives, online antagonistic communities and right-wing extremists and terrorists – exploit the affordances of mainstream and alt-tech platforms for their own purposes. Through this discussion, this article seeks to shed light on the interplay between e-extremism and the online far right.

PurposeBased on the theoretical predictions of media equation theory and the computers-are-social-actors (CASA) perspective, this study aims to examine the effects of performance error type (i.e. logical, semantic or syntactic), task type and personality presentation (i.e. dominant/submissive and/or friendly/unfriendly) on users' level of trust in their personal digital assistant (PDA), Siri.Design/methodology/approachAn experimental study of human–PDA interactions was performed with two types of tasks (social vs functional) randomly assigned to participants (N = 163). While interacting with Siri in 15 task inquiries, the participants recorded Siri's answers for each inquiry and self-rated their trust in the PDA. The answers were coded and rated by the researchers for personality presentation and error type.FindingsLogical errors were the most detrimental to user trust. Users' trust of Siri was significantly higher after functional tasks compared to social tasks when the effects of general usage (e.g. proficiency, length and frequency of usage) were controlled for. The perception of a friendly personality from Siri had an opposite effect on social and functional tasks in the perceived reliability dimension of trust and increased intensity of the presented personality reduced perceived reliability in functional tasks.Originality/valueThe research findings contradict predictions from media equation theory and the CASA perspective while contributing to a theoretical refinement of machine errors and their impact on user trust.

PurposeThis study aims to provide a literature review and bibliometric analysis of sustainable supply chain management using big data. We reviewed the literature on sustainable supply chain management under big data from 2012 to 2019 and extracted 777 articles.Design/methodology/approachWe conducted quantitative analysis and data network visualization of the chosen literature, including authors, journals, countries, research institutions and citations.FindingsWe discovered that the development of this interdisciplinary field has gained increasing popularity among researchers around the world, such as China and the US publishing the most articles and Western states having more cooperation, which indicates this research topic is growing in significance globally.Originality/valueScientific and technological revolutions such as big data have been incorporated in various industries. Modern supply chain management has also been combined with the advances in data science to achieve sustainability goals. No studies have reviewed the sustainable supply chain management based on big data. This study fills this gap.