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Controversy has long swirled over the claim that Donald Trump's base has deeply rooted authoritarian tendencies, but Trump himself seems to have few doubts. Asked whether his stated wish to be dictator “on day one” of second term in office would repel voters, Trump said “I think a lot of people like it.” It is one of his invariable talking points that 74 million voters supported him in 2020, and he remains the unrivaled leader of the Republican Party, even as his rhetoric escalates to levels that cautious observers now routinely call fascistic.

Is Trump right that many people “like” his talk of dictatorship? If so, what does that mean empirically? Part of the answer to these questions was apparent early, in the results of the 2016 American National Election Study (ANES), which included survey questions that we had proposed which we drew from the aptly-named “Right-Wing Authoritarianism” scale. Posed to voters in 2012–2013 and again in 2016, those questions elicited striking responses.

In this chapter, we revisit those responses. We begin by exploring Trump's escalating anti-democratic rhetoric in the light of themes drawn from Max Weber and Theodor W. Adorno. We follow this with the text of the 2017 conference paper in which we first reported that 75% of Trump's voters supported him enthusiastically, mainly because they shared his prejudices, not because they were hurting economically. They hoped to “get rid” of troublemakers and “crush evil.” That wish, as we show in our conclusion, remains central to Trump's appeal.

Incorporating conservation of resources theory into the sustainable career framework, this study empirically examines how social support at work, harmonious passion and strengths use interact to bolster work–home enrichment.

This study tested hypotheses through a two-wave research design with a final sample of 357 academic respondents from public universities in Vietnam.

We found positive relationships between social support, harmonious passion and work–home enrichment. Strengths use significantly moderated these relationships.

Organizations should cultivate a supportive environment and opportunities to help individuals utilize social support and exert their strengths to be more passionate and enrich their work–home activities.

This study addresses the knowledge gap regarding the crucial interdependence and interactions between contextual and personal resources in promoting work–home enrichment, an underexplored aspect in sustainable career literature. It highlights how social support and harmonious passion enhance work–home enrichment. Using strengths is a fundamental boundary condition for these associations. The findings offer invaluable implications for leveraging work-related resources and personal qualities to enrich work and home domains for a sustainable career.

This chapter focuses on the conservative Heritage Foundation's “Project 2025” and especially its comprehensive Mandate for Leadership, which provides a detailed plan for fundamental policy and administrative changes to be instituted in a Trump second term. It advocates an unparalleled concentration of executive power, elimination of the independence of the civil service and Department of Justice from the office of the president, and institution of permanent dominance of Trumpian conservatism. The specific focus is on the Mandate's proposed antienvironmental policies, which are weaved throughout the document and are designed to roll back sweepingly previous climate-change and environmental protection policies. Stressing maximal usage, production, and export of fossil fuel, the Trumpian “energy dominance agenda” is in polar contradiction to climate science policy aimed at decarbonizing the economy and society and averting catastrophic climate change and a “Hothouse Earth.” The Mandate's postfactual discourse combined with its advocacy of an all-powerful president and conspiratorial vision of the “woke” left as public enemy has definite protofascist overtones.

This study aims to explore the experiences of peers working in a range of roles within a single NHS mental health service. This study also aims to provide evidence of the impact of existing support, organisational structure and culture around peer working and provide recommendations for a Good Practice Guide for Peer Working. Peer roles require lived experience of mental health conditions and/or services. While the impact on them of using their own lived experience is not fully understood, anecdotal evidence suggests that peer workers may experience a greater emotional impact than other mental health workers. Burnout and retention are particular concerns.

This was a two-stage study using focus groups and reflexive thematic analysis in Stage 1. The key themes formed the basis of the Stage 2 workshop, which provided recommendations for a Good Practice Guide. The study team consisted of peer researchers with lived experience, supported by a Lived Experience Advisory Panel.

There is a perceived lack of support and an increased peer burden for peer workers. Recommendations included relevant ongoing training and development; support and supervision; and organisational cultural change.

Working within a peer-led co-production framework, this study contributes to the development of the evidence base for peer emotional labour. Based on the findings, a Good Practice Guide for Peer Working is being developed to promote good practice for the development of future peer worker roles.

Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media.

For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance.

The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts.

Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.

The white nationalist project of establishing a racially homogeneous state out of the United States hinges on the pursuit of power through the fragmentation of national spaces along racial lines. In a shifting political context, prominent ideologue Jared Taylor perceives Joe Biden's 2020 electoral victory as an opportunity to further engage his audience. This chapter offers a discourse analysis of seven audiovisual productions published by Taylor on the online magazine American Renaissance between the 3 November 2020 presidential election and the 6 January 2021 Capitol Hill riot. Through a multidisciplinary approach encompassing political science, race studies and information science, this case study illuminates how white nationalism uses fragmentation as both an objective and an argument. A fracture of the information contract seeks to define extremism as a bastion of objective truth, countering perceived mainstream media bias. The electoral dynamics subsequently serve as a vehicle for reshaping political dynamics and recasting partisan divisions as racial polarisation. Ultimately, this narrative arc steers towards a new strategic orientation, redefining the contours of territorial fragmentation and the white nationalist agenda itself.

This study examines the impact of career competencies (CC) (in the form of personal resources) on sustainable employability (SE) under the tenets of the Conservation of Resources theory. Further, we assess the moderating impact of coworker support and supervisor support (work-related social resources) in this relationship.

Data were collected using survey method from 362 doctors employed in private hospitals in Pakistan. The data were analyzed using structural equation modeling (SEM).

The results suggests a significant influence of CC on SE. Further, results also reveal that social support received from coworkers moderates the relationship between CC and SE. However, we find that supervisor support does not moderate the said relationship.

This research has clear novelty as SE is a recently defined construct and is still an area with insufficient empirical research. There is increasing interest in identifying the determinants and underlying mechanism of SE. Thus, this study makes contributions to knowledge by investigating CC and social resources as antecedents of SE. This study also offers implications for theory generally, and within the medical practitioner context more specifically.

This paper aims to present a case study of the early “formulation” activities that laid the foundation for the Edinburgh Wellbeing Pact, developed during and after the COVID-19 pandemic. The Pact aimed to foster partnership between service providers and citizens to prevent crises, empower individuals to manage their health and independence at home and strengthen the health and social care network in Edinburgh.

The study involved a retrospective review of documentary data, including reports, meeting notes, reflections and strategy documents. The analysis was led by the programme lead, who played a central role in the design and implementation of the Pact.

The formulation phase focused on building the Pact’s foundation through dialogues with citizens, staff, communities and stakeholders. It emphasised the development of the Pact’s vision and the establishment of key partnerships. This process was crucial for ensuring collaboration and guiding the transition from ideas to implementation. It led to the creation of key messages for staff, citizens and community partners. The formulation phase also facilitated the transfer of power and resources to citizens and enabled the creation of new funded initiatives, which introduced new service delivery models and strengthened collaboration between public and third sectors.

This case study contributes to understanding innovation in intersectoral practices, co-creation and co-production as strategies for addressing complex health and social care challenges. It provides insights for others engaged in similar initiatives.

The integration of social media and e-commerce has resulted in a rising phenomenon among individual content providers (ICPs), who used to offer free content, to provide consumers with paid content, such as online courses, Q&As or consultations. Despite the prevalence of ICPs’ content monetization, empirical research has rarely studied its underlying mechanism. This paper examines how the characteristics of free content contributed by ICPs on social media platforms influence their paid content sales, focusing on the perspective of human brand.

The empirical setting is an online knowledge exchange platform, where users are allowed to provide free content (e.g. answers) on the social media platform and launch paid content (e.g. lectures) on the e-commerce platform. A machine learning technique is employed to construct measures for the characteristics of free content, and fixed-effects estimation is presented to confirm which factors have a significant influence on the sales of paid content.

The empirical results show that the quality, diversity and expertness of free content have a significant positive impact on the sales of the ICP-paid content, with the brand popularity of ICP playing a mediating role.

This study is the first attempt to demystify the relationship between content contribution and ICPs’ content monetization from the perspective of human brand. The findings validate the effectiveness of the “Selling by Contribution” strategy and provide valuable insights for ICPs and social media platforms.