Abstract We address empirically trust as a determinant of support for government intervention. The central notion provided in the present paper is that the influence of generalized social trust on intervention attitudes is conditional on the perceived reliability, honesty, and incorruptibility

At any given time, the stability of a community depends on the right balance of trust and distrust. Furthermore, we face information overload, increased uncertainty and risk taking as a prominent feature of modern living. As members of society, we cope with these complexities and uncertainties

In a cross-section of countries, government regulation is strongly negatively correlated with social capital. We document, and try to explain, this highly significant empirical correlation. The correlation works for a range of measures of social capital, from trust in others to trust

Trust plays an important role in helping online users collect reliable information, and has attracted increasing attention in recent years. We learn from social sciences that, as the conceptual counterpart of trust, distrust could be as im-portant as trust. However, little work exists in studying

in psychology and relates their concepts to trust evaluation in an intuitive fashion. Moreover, we provide extensions for the Appleseed nucleus that make our trust metric handle distrust statements.

Abstract—As user-generated content and interactions have overtaken the web as the default mode of use, questions of whom and what to trust have become increasingly important. Fortunately, online social networks and social media have made it easy for users to indicate whom they trust and whom

such responses, while reinforcing distrust, have none the less brought about a relatively stable social structure. Its major underlying assumption is that the mafia - although by no means its only element - represents the quintessence of this structure, in which all the crucial behavioural patterns converge

Trust and distrust are two increasingly important metrics in social networks, reflecting users ’ attitudes and relationships towards each other. In this paper, we study the indirect derivation of these metrics’ values for users that do not know each other, but are connected through the network

Trust plays a crucial role in helping users collect reliable in-formation in an online world, and has attracted more and more attention in research communities lately. As a con-ceptual counterpart of trust, distrust can be as important as trust. However, distrust is rarely studied in social me

manner, the attitude of "basic trustfulness" deriving from socialization, and the "culture of trust " pervading their society and normatively constraining for each member. The culture of trust is shaped by historical experiences of a society- the tradition of trust, and by the current