Two dimensions persist in social cognition when people are making sense of individuals or groups. The stereotype content model (SCM) terms these two basic dimensions perceived warmth ...(trustworthiness, friendliness) and competence (capability, assertiveness). Measured reliably and validly, these Big Two dimensions converge across survey, cultural, laboratory, and biobehavioral approaches. Generality across place, levels, and time further support the framework. Similar dimensions have emerged repeatedly over the history of psychology and in current theories. The SCM proposes and tests a comprehensive causal theory: Perceived social structure (cooperation, status) predicts stereotypes (warmth, competence), which in turn predict emotional prejudices (pride, pity, contempt, envy), and finally, the emotions predict discrimination (active and passive help and harm). The SCM uncovers systematic content and dynamics of stereotypes, which has practical implications.
This review highlights one stream of work within the social network field, namely the work on cognitive social structures (CSS). First, CSS research is positioned within the field of social networks, ...and the key methods associated with CSS research are described. Research examining systematic biases in individuals' perceptions of social networks is covered, as is research examining the consequences of biased network perceptions (in terms of behaviors and outcomes). A research agenda is forwarded, suggesting three key directions for future research: the social capital of cognitive ties, extending and challenging network accuracy as a source of advantage and collective agency and organizational change. The overall goal is to invigorate research that moves beyond the description of cognitive social structures to an outcome-focused research paradigm.
The Society of Algorithms Burrell, Jenna; Fourcade, Marion
Annual review of sociology,
01/2021, Letnik:
47, Številka:
1
Journal Article
Recenzirano
Odprti dostop
The pairing of massive data sets with processes-or algorithms-written in computer code to sort through, organize, extract, or mine them has made inroads in almost every major social institution. This ...article proposes a reading of the scholarly literature concerned with the social implications of this transformation. First, we discuss the rise of a new occupational class, which we call the coding elite. This group has consolidated power through their technical control over the digital means of production and by extracting labor from a newly marginalized or unpaid workforce, the cybertariat. Second, we show that the implementation of techniques of mathematical optimization across domains as varied as education, medicine, credit and finance, and criminal justice has intensified the dominance of actuarial logics of decision-making, potentially transforming pathways to social reproduction and mobility but also generating a pushback by those so governed. Third, we explore how the same pervasive algorithmic intermediation in digital communication is transforming the way people interact, associate, and think. We conclude by cautioning against the wildest promises of artificial intelligence but acknowledging the increasingly tight coupling between algorithmic processes, social structures, and subjectivities.
Calls for greater contextualization have been powerful in motivating research and knowledge creation about entrepreneurship. However, unless counter-balanced with attempts to identify the field’s ...conceptual core, these efforts have the potential to devolve into hyper-contextualization, exposing the field to fragmentation, loss of consensus, and possible disintegration. We identify five elements of entrepreneurial agency common across eight subcommunities of entrepreneurship but emphasized differently in each. By conceiving of entrepreneurship as structural transformation, we explain why some agents succeed at transforming social structures via entrepreneurial action. We conclude with some first steps toward the development of a unified theory of entrepreneurial agency.
Many independent studies in social robotics and human-robot interaction have gained knowledge on various factors that affect people's perceptions of and behaviors toward robots. However, only a few ...of those studies aimed to develop models of social robot acceptance integrating a wider range of such factors. With the rise of robotic technologies for everyday environments, such comprehensive research on relevant acceptance factors is increasingly necessary. This article presents a conceptual model of social robot acceptance with a strong theoretical base, which has been tested among the general Dutch population (n = 1,168) using structural equation modeling. The results show a strong role of normative believes that both directly and indirectly affect the anticipated acceptance of social robots for domestic purposes. Moreover, the data show that, at least at this stage of diffusion within society, people seem somewhat reluctant to accept social behaviors from robots. The current findings of our study and their implications serve to push the field of acceptable social robotics forward. For the societal acceptance of social robots, it is vital to include the opinions of future users at an early stage of development. This way future designs can be better adapted to the preferences of potential users.
We review the bourgeoning literature on ethno-racial diversity and its alleged effects on public trust and cohesion in the context of the evolution of the concept of social capital and earlier claims ...about its manifold positive effects. We present evidence that questions such claims and points to the roots of civicness and trust in deep historical processes associated with race and immigration. We examine the claims that immigration reduces social cohesion by drawing on the sociological classics to show the forms of cohesion that actually keep modern societies together. This leads to a typology that shows "communitarianism" to be just one such form and one not required, and not necessarily ideal, for the smooth operation of complex organizations and institutions. Implications of our conclusions for future research and immigration policy are discussed.
Archaeological study of the social structure of the Jomon period has advanced through discoveries about the relative positions of graves, the presence or absence therein of accessories and grave ...goods, head orientations of corpses, types of tooth extraction, and so on. In recent years, research using anthropological information—both physical and biological—obtained from excavated human bones has begun to elucidate the social structures of that time. This approach is called bioarchaeology. In the analysis of the social structure of the Jomon period, bioarchaeology has three principal uses: to reconstruct burial subgroups by 14C dating of human bones; to estimate genetic relationships between adjacent human bones; and to estimate the proportion of migrants in the overall population. Here, I review the analysis of the cemetery of the Odake shell-mound as an example of bioarchaeological research while touching on the history of archaeological research of Jomon social structure.
Abstract Archaeological study of the social structure of the Jomon period has advanced through discoveries about the relative positions of graves, the presence or absence therein of accessories and ...grave goods, head orientations of corpses, types of tooth extraction, and so on. In recent years, research using anthropological information - both physical and biological - obtained from excavated human bones has begun to elucidate the social structures of that time. This approach is called bioarchaeology. In the analysis of the social structure of the Jomon period, bioarchaeology has three principal uses : to reconstruct burial subgroups by 14C dating of human bones ; to estimate genetic relationships between adjacent human bones ; and to estimate the proportion of migrants in the overall population. Here, I review the analysis of the cemetery of the Odake shell-mound as an example of bioarchaeological research while touching on the history of archaeological research of Jomon social structure.
Elevated risk of disease transmission is considered a major cost of sociality, although empirical evidence supporting this idea remains scant. Variation in spatial cohesion and the occurrence of ...social interactions may have profound implications for patterns of interindividual parasite transmission. We used a social network approach to shed light on the importance of different aspects of group-living (i.e. within-group associations versus physical contact) on patterns of parasitism in a neotropical primate, the brown spider monkey (Ateles hybridus), which exhibits a high degree of fission–fusion subgrouping. We used daily subgroup composition records to create a ‘proximity’ network, and built a separate ‘contact’ network using social interactions involving physical contact. In the proximity network, connectivity between individuals was homogeneous, whereas the contact network highlighted high between-individual variation in the extent to which animals had physical contact with others, which correlated with an individual's age and sex. The gastrointestinal parasite species richness of highly connected individuals was greater than that of less connected individuals in the contact network, but not in the proximity network. Our findings suggest that among brown spider monkeys, physical contact impacts the spread of several common parasites and supports the idea that pathogen transmission is one cost associated with social contact.
PDF
