Supporting Vulnerable Populations During the Pandemic: Stakeholders’ Experiences and Perceptions of Social Prescribing in Scotland During Covid-19

Social prescribing schemes refer people toward personalized health/wellbeing interventions in local communities. Since schemes hold different representations of social prescribing, responses to the pandemic crisis will vary. Intersectionality states that social divisions build on one another, sustaining unequal health outcomes. We conducted and inductively analysed interviews with twenty-three professional and volunteer stakeholders across three social prescribing schemes in urban and rural Scotland at the start and end of year one of the pandemic. Concerns included identifying and digitally supporting disadvantaged and vulnerable individuals and reduced capacity statutory and third-sector services, obliging link workers to assume new practical and psychological responsibilities. Social prescribing services in Scotland, we argue, represent a collage of practices superimposed on a struggling healthcare system. Those in need of such services are unlikely to break through disadvantage whilst situated within a social texture wherein inequalities of education, health and environmental arrangements broadly intersect with one another.

Significant Role of Trust and Distrust in Social Simulation

This paper introduces the Trust-Distrust Model and its applications, extending the Bounded Confidence Model, a theory of opinion dynamics, to include the relationship between trust and mistrust. In recent years, there has been an increase in the number of cases in which the prerequisites for conventional communication (e.g., the other person’s gender, appearance, tone of voice, etc.) cannot be established without the exchange of personal information. However, in recent years, there has been an increase in the use of personal information, such as letters and pictograms “as cryptographic asset data” for two-way communication. However, there are advantages and disadvantages to using information assets in the form of personalized data, which are excerpts of personal information as described above. In the future, the discussion of trust value in the above data will accelerate in indicators such as personal credit scoring. In this paper, the Trust-Distrust Model will be discussed with respect to theories that also address charismatic people, the effects of advertising, and social divisions. Furthermore, simulations of the Trust-Distrust Model show that 55% agreement is sufficient to build social consensus. By addressing this theory, we hope to use it to discuss and predict social risk in future credit scoring discussions.

Bridging the Gap

The year of COVID-19, 2020, brought unique experiences to everyone in their daily as well as their professional life. Facing many challenges of division in all aspects (social distancing, political and social divisions, remote work environments), University of South Florida Libraries took the lead in exploring how to overcome these various separations by providing access to its high-quality information sources to its local community and beyond. This paper shares the insights of using Linked Data technology to provide easy access to digital cultural heritage collections not only for the scholarly communities but also for those underrepresented user groups. The authors present the challenges at this special time of the history, discuss the possible solutions, and propose future work to further the effort.

Covid19, Charitable Giving and Collectivism: a data-harvesting approach

This paper charts responses to urgent appeals by welfare charities through crowd funding websites in order to examine the impact of the Covid19 pandemic on public generosity and social cohesion in the UK. It uses a relatively new method in social policy research, data-harvesting. Online public giving to local charities for vulnerable people sky-rocketed during the crisis, despite the long-established stigmatic treatment of the able-bodied poor of working age, a decade of benefit cuts, the increased stringency of Universal Credit and the long-term downward trend in charity incomes. Welfare policy and the rhetoric that surrounds it is increasingly divisive, although most welfare spending addresses needs or risks that confront all of us. The Covid19 lockdown can be seen as a natural experiment in social inclusion. This paper shows how policy discourse that stresses common humanity in the face of a collective challenge, rather than social divisions, can help build social cohesion.

Group Nominations as an Instrument of Electoral Struggle: Ukrainian Discourse of 2019 Parliamentary Elections

The authors work within the framework of political sociology using interdisciplinary methodology. The article presents the results of a sociological analysis of the functions of group nominations in the electoral struggle in divided societies. The empirical basis of the article is the author's study of the electoral discourse based on the material of the parliamentary elections in Ukraine in 2019, carried out within the framework of the ARDU international research project, as well as a mass poll conducted within the framework of the same project. The authors investigate the electoral struggle as a factor and s reflection of macrosocial processes, relying on a combined theoretical and metho­dological foundation: the sociology of cleavages, social constructivism, and critical discourse analysis. The results of the analysis of the pre-election discourse and a mass survey of the adult population of Ukraine show the relationship between discursive group nominations and objective social cleavages. The division of society into conflict groups is used as a discursive tool for segmentation of the electoral audience, as well as for the consolidation and deepening of existing social divisions. Authors conclude that there is the interrelation between discursive group nominations and objective social cleavages. Group nominations (re) produce a macrosocial split of a complex, regional and ideological nature, which receives a technological dimension in the electoral discourse.

No Common Ground? Public Knowledge about Welfare Spending in Turkey and its Social Divisions

Social policy research examining citizens’ welfare knowledge, which offers a gateway to their understanding of the policy context, has remained limited. Adapting the opportunity–motivation–ability framework borrowed from the literature on political knowledge to welfare knowledge, this article offers an analysis of new data from a nationwide survey to explore Turkish society’s knowledge of the composition of public social spending. Corroborating earlier findings in the literature, the article maintains that most people in Turkey overestimate the relative size of social assistance spending for the poor. However, different from previous findings, the majority and most pensioners are also ill-informed about the rank of public spending on old-age pensions, the most widely used social benefit absorbing the largest share of welfare spending. The article provides evidence of the social division of welfare knowledge in Turkish society based mostly on three opportunity-related variables: city of residence, gender and income.

Eyes on the Screen: Digital Interclass Coalitions against Crime in a Gentrifying Rural Town

According to the theories of social disorganization and collective efficacy, population heterogeneity contributes to the erosion of social ties and the increase in crime. I test that assumption through an in-person and digital ethnography in La Calera, a rural area in Colombia undergoing population change through gentrification and facing increasing burglaries, cattle theft, and other crimes. I argue that the use of social media in this socially mixed community for a common goal—safety—enables coalitions among residents that reach across social divisions. By participating in community meetings but especially through social media, residents monitor the area to look after homes and each other, highlighting feelings of “unity” and “cohesion” that strengthen social ties among them and the police despite the heterogeneity in class composition. This case examines when social organization can occur despite class polarization, even in a country with a long civil war history and high class inequality.

Hate Speech, Symbolic Violence, and Racial Discrimination. Antigypsyism: What Responses for the Next Decade?

This paper aims to fulfill a double objective: on the one hand, to explain how hate speech works as a mechanism of racialization towards the Roma, resulting in a concrete form of symbolic violence. On the other hand, to analyze the most relevant institutional responses to fight against antigypsyism, looking at the new EU Roma Framework 2020–2030 with a special attention on the recent developments in Spain. The paper discusses the fact that a focus on symbolic violence and more concretely on hate speech would produce considerably differing approaches to Roma inclusion policies. The paper is divided into three sections: the first section will conceptually address the notions of “antigypsyism”, “racial discrimination”, “symbolic violence”, and “hate speech”. The second section will present and contextualize a series of illustrative cases of antigypsyist hate speech in the context of the COVID-19 pandemic in Spain. The third section will examine the most relevant legislative and policy initiatives adopted to fight against antigypsyism. The paper will wrap up with a discussion and some conclusions on the functioning of hate speech as a symbolic mechanism of racialization; and its capacity to articulate moral hierarchies and social divisions among the Roma and the rest of society.