Shapley–Shubik methods in cost sharing problems with technological cooperation

In the discrete cost sharing model with technological cooperation (Bahel and Trudeau in Int J Game Theory 42:439–460, 2013a), we study the implications of a number of properties that strengthen the well-known dummy axiom. Our main axiom, which requires that costless units of demands do not affect the cost shares, is used to characterize two classes of rules. Combined with anonymity and a specific stability property, this requirement picks up sharing methods that allow the full compensation of at most one technological contribution. If instead we strengthen the well-known dummy property to include agents whose technological contribution is offset by the cost of their demand, we are left with an adaptation of the Shapley–Shubik method that treats technologies as private and rewards their contributions. Our results provide two interesting axiomatizations for the adaptations of the Shapley–Shubik rule to our framework.     

Female-partnered women conceiving kinship: Does sharing a sperm donor mean we are family?

ABSTRACT

This qualitative study explored how 36 initially female-partnered mothers defined their own, and their children's, relationships with families who share their unknown sperm donor (i.e., “linked” families). Shared genetics among children were sometimes sufficient to describe relationships among linked families as familial, especially from the children's perspectives. Most women described their own relationships with linked families as significant but not necessarily in traditional family terms. Family terms were sometimes seen as undermining ties to siblings and genetically unrelated mothers. As shared experiences have come to define “chosen family,” definitions of significant relationships must expand to include those defined by shared genetics alone.     

‘Privacy does not interest me’. A comparative analysis of photo sharing on Instagram and Blipfoto

Photo sharing online has become immensely popular and is a central aspect of modern visual culture. Yet it creates a number of privacy issues, both in relation to other individuals and corporate surveillance. The purpose of this study was to investigate users’ understanding of privacy issues in photo sharing, based on a comparative study of two contrasting platforms: Instagram and Blipfoto. The study combined netnography and in-depth interviewing. It was found that Instagram users had a greater awareness of how the platform might use their data, but saw this loss of privacy as inevitable in return for a free service. Blipfoto users were more trusting of what they experienced as a very community minded platform. Any concerns felt by both groups of users were out-weighed by the sense that photo sharing was highly meaningful and their fascination with watching and being watched. Both groups main approach to privacy was through restricting certain types of image of people and not revealing the location of certain personal spaces. Notions of privacy thus remained primarily personal and ignored corporate dataveillance.