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The aim of the study is threefold: understanding the interconnections amongst visual and verbal multimodal communication strategies used in food discourse; identifying the themes of celebrity chef's food discourse with respect to pro-environmental behaviour; and providing a methodological framework to visually analyse food-themed videos.

This study uses mise-en-scène and critical discourse and multimodal analyses to gain insights on food discourse from 20 videos shared by a Michelin starred chef on social media platforms.

Results show that a pro-environmental cooking philosophy challenges the normative discourse on food and educates general audiences and foodies alike. Mise-en-scène and discourse analyses of Instagram visual content reveal that leftovers are central to the ethical message and are intertwined – through the aesthetic of the videos-with concepts of inclusivity, diversity and nourishment.

Chefs, and restaurants, are encouraged to recognise their responsibility as role models, thus able to influence the societal production of food discourse.

The findings provide new insights into the role of a celebrity chef in promoting sustainable food preparation and consumption.

To succeed in today’s dynamic and unpredictable business world, businesses are increasingly required to gain the trust of and inform the society in which they operate about the social and environmental consequences of their actions. Corporations’ claims regarding the responsibility and ethicality of their actions, however, have been shown to be contradictory to some degree. We define corporations’ deceitful implementation of their corporate social responsibility (CSR) policies as pseudo-CSR. We argue that it is the moral characteristics of individuals, i.e. employees, managers and other decision-makers who ignore the CSR policies, which produce pseudo-CSR.

This is a conceptual paper.

The authors conceptualize the gap between true CSR and pseudo-CSR on a cognitive individual level as “moral laxity,” resulting from organization-induced lack of effort concerning individual moral development through ethical discourse, ethical sensemaking and subjectification processes. The absence of these processes prohibits individuals in organizations from constructing ethical identities to inhibit pseudo-CSR activities.

This paper contributes to the literature on CSR by augmenting corporate-level responsibility with the hitherto mostly neglected, yet significant, role of the individual in bridging this gap.

Data economy is a recent phenomenon, raised by digital transformation and platformisation, which has enabled the concentration of data that can be used in economic purposes. However, there is a lack of clear procedures and ethical rules on how data economy ecosystems are governed. As a response to the current situation, there has been criticism and demands for the governance of data use to prevent unethical consequences that have already manifested. Thus, ethical governance of the data economy ecosystems is needed. The purpose of this paper is to introduce a new ethical governance model for data economy ecosystems. The proposed model offers a more balanced solution for the current situation where a few global large-scale enterprises dominate the data market and may use oligopolistic power over other stakeholders.

This is a conceptual article that covers theory-based discourse ethical reflection of data economy ecosystems governance. The study is based on the premise of the discourse ethics where inclusion of all stakeholders is needed for creating a transparent and ethical data economy.

This article offers self-regulation tool for data economy ecosystems by discourse ethical approach which is designed in the governance model. The model aims to balance data “markets” by offering more transparent, democratic and equal system than currently.

By offering a new ethically justified governance model, we may create a trust structure where rules are visible and all stakeholders are treated fairly.

Data economy is pervasively present in our everyday lives. Still, ordinary laypersons' chances to genuine communication with other stakeholders are scarce. This paper aims to raise awareness about communication patterns in the context of data economy and initiate a dialogue about laypersons' position in data economy ecosystems.

This conceptual paper covers theory-based critical reflection with ethical- and empirical-based remarks. It provides novel perspectives both for research and stakeholder collaboration.

The authors suggest invitational rhetoric and Habermasian discourse as instruments towards understanding partnership between all stakeholders of the data economy to enable laypersons to transfer from subjectivity to the agency.

The authors provide (1) theory-based critical reflection concerning communication patterns in the data economy; (2) both ethical and empirical-based remarks about laypersons' position in data economy and (3) ideas for interdisciplinary research and stakeholder collaboration practices by using invitational rhetoric and rational discourse. By that, this paper suggests taking a closer look at communication practices and ethics alike in the data economy. Moreover, it encourages clear, rational and justified arguments between stakeholders in a respectful and equal environment in the data economy ecosystems.

Voice assistant (VA) technology is one of the fastest-growing artificial intelligence applications at present. However, the burgeoning scholarship argues that there are ethical challenges relating to this new technology, not the least related to privacy, which affects the technology’s acceptance. Given that the media impacts public opinion and acceptance of VA and that there are no studies on media coverage of VA, the study focuses on media coverage. In addition, this study aims to focus on media coverage in Indonesia, a country that has been underrepresented in earlier research.

The authors used critical discourse analysis of media texts, focusing on three levels (text, discourse practice and social practice) to study how VA technology was discussed in the Indonesian context and what power relations frame the representation. In total, 501 articles were collected from seven national media in Indonesia from 2010 to 2020 and the authors particularly focus on the 45 articles that concern ethics.

The ethical topics covered are gender issues, false marketing, ethical wrongdoing, ethically positive effects, misuse, privacy and security. More importantly, when they are discussed, they are presented as constituting no real critical problem. Regarding discursive practices, the media coverage is highly influenced by foreign media and most of the articles are directed to well-educated Indonesians. Finally, regarding social practices, the authors hold that the government ideology of technological advancement is related to this positive portrayal of VAs.

First, to provide the first media discourse study about ethical issues of VAs. Second, to provide insights from a non-Western context, namely, Indonesia, which is underrepresented in the research on ethics of VAs.

This research analyzed the existing academic and grey literature concerning the technologies and practices of people analytics (PA), to understand how ethical considerations are being discussed by researchers, industry experts and practitioners, and to identify gaps, priorities and recommendations for ethical practice.

An iterative “scoping review” method was used to capture and synthesize relevant academic and grey literature. This is suited to emerging areas of innovation where formal research lags behind evidence from professional or technical sources.

Although the grey literature contains a growing stream of publications aimed at helping PA practitioners to “be ethical,” overall, research on ethical issues in PA is still at an early stage. Optimistic and technocentric perspectives dominate the PA discourse, although key themes seen in the wider literature on digital/data ethics are also evident. Risks and recommendations for PA projects concerned transparency and diverse stakeholder inclusion, respecting privacy rights, fair and proportionate use of data, fostering a systemic culture of ethical practice, delivering benefits for employees, including ethical outcomes in business models, ensuring legal compliance and using ethical charters.

This research adds to current debates over the future of work and employment in a digitized, algorithm-driven society.

The research provides an accessible summary of the risks, opportunities, trade-offs and regulatory issues for PA, as well as a framework for integrating ethical strategies and practices.

By using a scoping methodology to surface and analyze diverse literatures, this study fills a gap in existing knowledge on ethical aspects of PA. The findings can inform future academic research, organizations using or considering PA products, professional associations developing relevant guidelines and policymakers adapting regulations. It is also timely, given the increase in digital monitoring of employees working from home during the Covid-19 pandemic.

The purpose of this paper is clearly illustrate this convergence and the prescriptive recommendations that such documents entail. There is a significant amount of research into the ethical consequences of artificial intelligence (AI). This is reflected by many outputs across academia, policy and the media. Many of these outputs aim to provide guidance to particular stakeholder groups. It has recently been shown that there is a large degree of convergence in terms of the principles upon which these guidance documents are based. Despite this convergence, it is not always clear how these principles are to be translated into practice.

In this paper, the authors move beyond the high-level ethical principles that are common across the AI ethics guidance literature and provide a description of the normative content that is covered by these principles. The outcome is a comprehensive compilation of normative requirements arising from existing guidance documents. This is not only required for a deeper theoretical understanding of AI ethics discussions but also for the creation of practical and implementable guidance for developers and users of AI.

In this paper, the authors therefore provide a detailed explanation of the normative implications of existing AI ethics guidelines but directed towards developers and organisational users of AI. The authors believe that the paper provides the most comprehensive account of ethical requirements in AI currently available, which is of interest not only to the research and policy communities engaged in the topic but also to the user communities that require guidance when developing or deploying AI systems.

The authors believe that they have managed to compile the most comprehensive document collecting existing guidance which can guide practical action but will hopefully also support the consolidation of the guidelines landscape. The authors’ findings should also be of academic interest and inspire philosophical research on the consistency and justification of the various normative statements that can be found in the literature.

The concept of personal recovery is now a key pillar of service delivery. It aims to support individuals to flourish and establish a new identity following an acute episode or diagnosis. This view of recovery is unique to each person on that journey. However, there has been a significant focus on measuring these experiences. This paper aims to explore the influence of social constructionism on the concept of recovery within an Irish context, seeking to understand the influence of language, discourse and power on service users’ experiences.

A qualitative, interpretivist methodology was adopted for this case study design. Semi-structured interviews were conducted with 12 service users. Thematic analysis was chosen as the method of analysis.

Personalising recovery did not always lead to the removal of biological symptoms, but with the appropriate supports, individual’s recovery journey was greatly enhanced. On the contrary, personal recovery places overwhelmingly responsibility on the individual to succeed, largely driven by neoliberal discourse. This focus on individualism and the pressure to succeed was further experienced when people sought to re-integrate into society and participate in normalised social order. Ultimately, for many service users, they viewed personal recovery as an unfulfilled promise.

It is not a representative sample of service users within an Irish context.

To the best of the authors’ knowledge, this is the first study to explore influence of social constructionism on the concept of personal recovery within a mental health service context.

This study advances a reconceptualization of data and information which overcomes normative understandings often contained in data policies at national and international levels. This study aims to propose a conceptual framework that moves beyond subject- and collective-centric normative understandings.

To do so, this study discusses the European Union (EU) and China’s approaches to data-driven technologies highlighting their similarities and differences when it comes to the vision underpinning how tech innovation is shaped.

Regardless of the different attention to the subject (the EU) and the collective (China), the normative understandings of technology by both actors remain trapped into a positivist approach that overlooks all that is not and cannot be turned into data, thus hindering the elaboration of a more holistic ecological thinking merging humans and technologies.

Revising the philosophical and political debate on data and data-driven technologies, a third way is elaborated, i.e. federated data as commons. This third way puts the subject as part by default of a collective at the centre of discussion. This framing can serve as the basis for elaborating sociotechnical alternatives when it comes to define and regulate the mash-up of humans and technology.