The current development of e-voting systems worldwide raises several specific interesting issues from a legal point of view. Auditability measures, identification procedures or guarantees for voting secrecy and equality are good examples, but we often forget a fundamental question: the usefulness of these new technologies. This paper intends to provide an answer that takes into account the comp...

It is debatable if current direct-recording electronic voting machines can sufficiently be trusted for a use in elections. Reports about malfunctions and possible ways of manipulation abound. Voting schemes have to fulfill seemingly contradictory requirements: On one hand the election process should be verifiable to prevent electoral fraud and on the other hand each vote should be deniable to a...

In many sport competitions athletes, teams, or countries are evaluated based on several variables. The strong assumptions underlying traditional 'linear weight' scoring systems (that the relative importance, interactions and linearizing transformations of the variables are known) can often not be justified on theoretical grounds, and empirical 'validation' of weights, interactions and transform...

This paper describes the retrieval approach proposed by the SIG/EVI group of the IRIT research centre in INEX’2004 evaluation. The approach uses a voting method coupled with some processes to answer content only and content and structure queries. This approach is based on previous works we leaded in the context of automatic text categorization.

We consider voting over combinatorial domains, where alternatives are binary tuples. We assume that votes are specified as conditionally lexicographic preferences, or LP trees. We study aggregation problems of LP tree votes for several positional scoring rules. Our main goal is to demonstrate that answer-set programming can be effective in solving the winner and the evaluation problems for inst...

We analyze some voting models mimicking online evaluation systems intended to reduce the information overload. The minimum number of operations needed for a system to be effective is analytically estimated. When herding effects are present, linear preferential attachment marks a transition between trustful and biased reputations.

This research began with a question about addressing a broader range of accessibility issues in voting than the standards in the Voluntary Voting System Guidelines (VVSG) require. The VVSG standards cover accessibility for low vision, blindness, and cognitive disabilities. But what if anyone could mark their ballot anywhere, any time, on any device? While the likelihood of voters voting on thei...

Obtaining user opinion (using votes) is essential to ranking user-generated online content. However, any content voting system is susceptible to the Sybil attack where adversaries can out-vote real users by creating many Sybil identities. In this paper, we present SumUp, a Sybilresilient vote aggregation system that leverages the trust network among users to defend against Sybil attacks. SumUp ...

This paper presents an experimental evaluation of the state-of-the-art approaches for automatic term recognition based on multiple features: machine learning method and voting algorithm. We show that in most cases machine learning approach obtains the best results and needs little data for training; we also find the best subsets of all popular features.