Trusting (and Verifying) Online Intermediaries\u27 Policing

All is not well in the land of online self-regulation. However competently internet intermediaries police their sites, nagging questions will remain about their fairness and objectivity in doing so. Is Comcast blocking BitTorrent to stop infringement, to manage traffic, or to decrease access to content that competes with its own for viewers? How much digital due process does Google need to give a site it accuses of harboring malware? If Facebook censors a video of war carnage, is that a token of respect for the wounded or one more reflexive effort of a major company to ingratiate itself with the Washington establishment? Questions like these will persist, and erode the legitimacy of intermediary self-policing, as long as key operations of leading companies are shrouded in secrecy. Administrators must develop an institutional competence for continually monitoring rapidly-changing business practices. A trusted advisory council charged with assisting the Federal Trade Commission (FTC) and Federal Communications Commission (FCC) could help courts and agencies adjudicate controversies concerning intermediary practices. An Internet Intermediary Regulatory Council (IIRC) would spur the development of expertise necessary to understand whether companies’ controversial decisions are socially responsible or purely self-interested. Monitoring is a prerequisite for assuring a level playing field online

Migration control for mobile agents based on passport and visa

Research on mobile agents has attracted much attention as this paradigm has demonstrated great potential for the next-generation e-commerce. Proper solutions to security-related problems become key factors in the successful deployment of mobile agents in e-commerce systems. We propose the use of passport and visa (P/V) for securing mobile agent migration across communities based on the SAFER e-commerce framework. P/V not only serves as up-to-date digital credentials for agent-host authentication, but also provides effective security mechanisms for online communities to control mobile agent migration. Protection for mobile agents, network hosts, and online communities is enhanced using P/V. We discuss the design issues in details and evaluate the implementation of the proposed system

Bakelite and other Shibboleths: eBay listings and the 'policing' of 'amateur' collecting knowledges within the space of an online old radio forum

eBay, the online auction site, is composed of thousands of item descriptions constructed by sellers themselves. Sellers may be collectors or antiques experts, but often they are amateurs selling off unwanted items. As such, eBay becomes an unprecedented public space for the performance of amateur collecting and consumption knowledges where experts are being disintermediated by non-expert knowledges. These knowledges have become a major source of discussion on an online old radio discussion forum and the case study presented here contends that amateur knowledges are strongly contested, often in separate online spaces, and as part of identity performance. While a ‘cult of the amateur’ may be occurring online, it is not happening without a fight over knowledge and its performance. eBay is shown as a relational space to the forum, allowing radio experts to perform their own group identity and related practices - distinguished from those seen on eBay. This paper examines these distinctions in detail - the identifying traits or 'Shibboleths' of eBay amateurs - such as the incorrect spelling of 'Bakelite'.

Cyber-crime Science = Crime Science + Information Security

Cyber-crime Science is an emerging area of study aiming to prevent cyber-crime by combining security protection techniques from Information Security with empirical research methods used in Crime Science. Information security research has developed techniques for protecting the confidentiality, integrity, and availability of information assets but is less strong on the empirical study of the effectiveness of these techniques. Crime Science studies the effect of crime prevention techniques empirically in the real world, and proposes improvements to these techniques based on this. Combining both approaches, Cyber-crime Science transfers and further develops Information Security techniques to prevent cyber-crime, and empirically studies the effectiveness of these techniques in the real world. In this paper we review the main contributions of Crime Science as of today, illustrate its application to a typical Information Security problem, namely phishing, explore the interdisciplinary structure of Cyber-crime Science, and present an agenda for research in Cyber-crime Science in the form of a set of suggested research questions

Learning optimization models in the presence of unknown relations

In a sequential auction with multiple bidding agents, it is highly challenging to determine the ordering of the items to sell in order to maximize the revenue due to the fact that the autonomy and private information of the agents heavily influence the outcome of the auction. The main contribution of this paper is two-fold. First, we demonstrate how to apply machine learning techniques to solve the optimal ordering problem in sequential auctions. We learn regression models from historical auctions, which are subsequently used to predict the expected value of orderings for new auctions. Given the learned models, we propose two types of optimization methods: a black-box best-first search approach, and a novel white-box approach that maps learned models to integer linear programs (ILP) which can then be solved by any ILP-solver. Although the studied auction design problem is hard, our proposed optimization methods obtain good orderings with high revenues. Our second main contribution is the insight that the internal structure of regression models can be efficiently evaluated inside an ILP solver for optimization purposes. To this end, we provide efficient encodings of regression trees and linear regression models as ILP constraints. This new way of using learned models for optimization is promising. As the experimental results show, it significantly outperforms the black-box best-first search in nearly all settings.Comment: 37 pages. Working pape

On Internal Knowledge Markets

In large organizations, knowledge can move rapidly or slowly, usefully or unproductively. Those who place faith in internal knowledge markets and online platforms to promote knowledge stocks and flows should understand how extrinsic incentives can crowd outintrinsic motivation

Are They for Real? Activism and Ironic Identities

A new breed of political activist has begun to appear on the streets and in the news. They are no longer trying to out-shout their opponents, but are agreeing with them instead, enthusiastically taking their adversary’s position to exaggerated extremes. It is a practice here termed “identity-nabbing,” in which participants pretend to be someone they are not, appearing in public as exaggerated caricatures of their opponents or ambiguously co-opting some of their power. This paper focuses on three groups in particular: The Billionaires for Bush, Reverend Billy, and the Yes Men. Each group stages elaborate, ironically humorous stunts as a means of attracting public attention to particular political/social issues. The ironic frame not only provides entertainment value, but also contains its own community-building function, as it requires the participation of the audience to actively read it ironically. Banking on the pre-existence of communities that share their assumptions and get the joke, these groups attempt to turn what Linda Hutcheon refers to as “discursive communities” into political communities (or counterpublics), urging people to actively identify with the importance of the issue at hand, and to continue circulating the critique. They rely on the co-participatory workings of irony to spur people into viewing themselves as a collective with collective power. None of these groups are aiming for revolutionary change, but by turning laughter over a shared joke into anger and engagement they work to attract attention, get others involved, and slowly shift debate