Trust and privacy in distributed work groups

Proceedings of the 2nd International Workshop on Social Computing, Behavioral Modeling and PredictionTrust plays an important role in both group cooperation and economic exchange. As new technologies emerge for communication and exchange, established mechanisms of trust are disrupted or distorted, which can lead to the breakdown of cooperation or to increasing fraud in exchange. This paper examines whether and how personal privacy information about members of distributed work groups influences individuals' cooperation and privacy behavior in the group. Specifically, we examine whether people use others' privacy settings as signals of trustworthiness that affect group cooperation. In addition, we examine how individual privacy preferences relate to trustworthy behavior. Understanding how people interact with others in online settings, in particular when they have limited information, has important implications for geographically distributed groups enabled through new information technologies. In addition, understanding how people might use information gleaned from technology usage, such as personal privacy settings, particularly in the absence of other information, has implications for understanding many potential situations that arise in pervasively networked environments.Preprin

Trust and Reciprocity in 2-node and 3-node Networks

In this paper we focus on the interaction between exogenous network structure and bargaining behavior in a laboratory experiment. Our main question is how competition and cooperation interact in bargaining environments based on networked versions of the investment game. We focus on 3-node networked markets and vary the network structure to model competition upstream (multiple sellers paired with a monopsonistic buyer) and competition downstream (a monopolistic seller paired with multiple buyers). We describe two kinds of models of trust for such networked environments, absolute and relativized models, and use this structure to generate a general hypothesis about these environments: that information crowds in cooperation on the competitive side of the market. The experimental results support this hypothesis.networks, trust, reciprocity, experiments, investment game

Trust Based Participant Driven Privacy Control in Participatory Sensing

Widespread use of sensors and multisensory personal devices generate a lot of personal information. Sharing this information with others could help in various ways. However, this information may be misused when shared with all. Sharing of information between trusted parties overcomes this problem. This paper describes a model to share information based on interactions and opinions to build trust among peers. It also considers institutional and other controls, which influence the behaviour of the peers. The trust and control build confidence. The computed confidence bespeaks whether to reveal information or not thereby increasing trusted cooperation among peers.Comment: 14 page

How Effective are Electronic Reputation Mechanisms? An Experimental Investigation

Electronic reputation or "feedback" mechanisms aim to mitigate the moral hazard problems associated with exchange among strangers by providing the type of information available in more traditional close-knit groups, where members are frequently involved in one another's dealings. In this paper, we compare trading in a market with online feedback (as implemented by many Internet markets) to a market without feedback, as well as to a market in which the same people interact with one another repeatedly (partners market). We find that, while the feedback mechanism induces quite a substantial improvement in transaction efficiency, it also exhibits a kind of public goods problem in that, unlike in the partners market, the benefits of trust and trustworthy behavior go to the whole community and are not completely internalized. We discuss the implications of this perspective for improving feedback systems.

Digital Media and Youth: Unparalleled Opportunity and Unprecedented Responsibility

Part of the Volume on Digital Media, Youth, and Credibility This chapter argues that understanding credibility is particularly complex -- and consequential -- in the digital media environment, especially for youth audiences, who have both advantages and disadvantages due to their relationship with contemporary technologies and their life experience. The chapter explains what is, and what is not, new about credibility in the context of digital media, and discusses the major thrusts of current credibility concerns for scholars, educators, and youth

Relational quality: A dynamic framework for assessing the role of trust in strategic alliances

The organizational literature has always posited that «trust» plays a key role in economic exchanges, particularly when one or another party is subject to the risk of opportunistic behaviour, incomplete monitoring, or when moral hazard problems arise. These conditions are almost always present in the case of alliances and joint ventures between independent parties. This paper explores the concept of «relational quality» in one such inter-organizational form ­dyadic alliances­ where past experience and the shadow of the future play an important role. Relational quality is important, as it affects the extent to which partners substitute reliance on trust for more formal control mechanisms. Building on theory, case studies and survey data, we develop a framework for thinking about trust in dynamic and practical terms. We define three elements affecting relational quality in alliances: the initial conditions surrounding the exchange, the cumulative experiences of the parties with each other's behaviours as they interact, and the impact that external events have on perceptions of behaviour and attitudes of the parties about each other's trustworthiness. We use data on a sample of alliances with one Spanish partner to explore the relative impact of these elements and develop a more precise set of propositions from this framework. The paper should guide further work towards quantifying the role of trust as a control mechanism in the performance of strategic alliances.Alliances; economic exchanges; joint ventures;

Sudden Trust Collapse in Networked Societies

Trust is a collective, self-fulfilling phenomenon that suggests analogies with phase transitions. We introduce a stylized model for the build-up and collapse of trust in networks, which generically displays a first order transition. The basic assumption of our model is that whereas trust begets trust, panic also begets panic, in the sense that a small decrease in trust may be amplified and ultimately lead to a sudden and catastrophic drop of trust. We show, using both numerical simulations and mean-field analytic arguments, that there are extended regions of the parameter space where two equilibrium states coexist: a well-connected network where confidence is high, and a poorly connected network where confidence is low. In these coexistence regions, spontaneous jumps from the well-connected state to the poorly connected state can occur, corresponding to a sudden collapse of trust that is not caused by any major external catastrophe. In large systems, spontaneous crises are replaced by history dependence: whether the system is found in one state or in the other essentially depends on initial conditions. Finally, we document a new phase, in which agents are connected yet distrustful.Comment: 15 pages, 10 figure

Resilient Autonomous Control of Distributed Multi-agent Systems in Contested Environments

An autonomous and resilient controller is proposed for leader-follower multi-agent systems under uncertainties and cyber-physical attacks. The leader is assumed non-autonomous with a nonzero control input, which allows changing the team behavior or mission in response to environmental changes. A resilient learning-based control protocol is presented to find optimal solutions to the synchronization problem in the presence of attacks and system dynamic uncertainties. An observer-based distributed H_infinity controller is first designed to prevent propagating the effects of attacks on sensors and actuators throughout the network, as well as to attenuate the effect of these attacks on the compromised agent itself. Non-homogeneous game algebraic Riccati equations are derived to solve the H_infinity optimal synchronization problem and off-policy reinforcement learning is utilized to learn their solution without requiring any knowledge of the agent's dynamics. A trust-confidence based distributed control protocol is then proposed to mitigate attacks that hijack the entire node and attacks on communication links. A confidence value is defined for each agent based solely on its local evidence. The proposed resilient reinforcement learning algorithm employs the confidence value of each agent to indicate the trustworthiness of its own information and broadcast it to its neighbors to put weights on the data they receive from it during and after learning. If the confidence value of an agent is low, it employs a trust mechanism to identify compromised agents and remove the data it receives from them from the learning process. Simulation results are provided to show the effectiveness of the proposed approach

African small and medium enterprises, networks, and manufacturing performance

This paper examines the role of private support institutions in determining small and medium enterprise (SME) growth and performance in Sub-Saharan Africa (SSA). It finds that SMEs in SSA get around market failures and lack of formal institutions by creating private governance systems in the form of long-term business relationships and tight, ethnically-based, business networks. There are important links between these informal governance institutions and SME performance. Networks raise the performance of"insiders"and, in the sparse business environments of the SSA region, have attendant negative consequences for market participation of"outsiders,"such as indigenous African SMEs. This is indicated through the determinants of access to supplier credit. Policy interventions will be needed to improve the platform for relation-based governance mechanisms and to address the exclusionary effects of tight networks.Economic Theory&Research,Banks&Banking Reform,Business in Development,Business Environment,Technology Industry