Aggregating partial, local evaluations to achieve global ranking

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.Comment: 9 pages, 5 figures, accepted for publication in Physica

Dis&approval voting: a characterization

[EN]The voting rule considered in this paper belongs to a large class of voting systems, called "range voting" or "utilitarian voting", where each voter rates each candidate with the help of a given evaluation scale and the winner is the candidate with the highest total score. In approval voting the evaluation scale only consists of two levels: 1 (approval) and 0 (non approval). However non approval may mean disapproval or just indifierence or even absence of suficient knowledge for evaluating the candidate. In this paper we propose a characterization of a rule (that we refer to as dis&approval voting) that allows for a third level in the evaluation scale. The three levels have the following interpretation: 1 means approval, 0 means indifierence, abstention or `do not know', and -1 means disapproval

The Machinery of Democracy: Voting System Accessibility

Traditionally, many voters with disabilities have been unable to cast their ballots without assistance from personal aides or poll workers. Those voters do not possess the range of visual, motor, and cognitive facilities typically required to operate common voting systems. For example, some are not be able to hold a pen or stylus to mark a ballot that they must see and read. Thus, the voting experience for citizens who cannot perform certain tasks reading a ballot, holding a pointer or pencil has not been equal to that of their peers without disabilities.The Help America Vote Act of 2002 took a step forward in addressing this longstanding inequity. According to HAVA, new voting systems must allow voters with disabilities to complete and cast their ballots in a manner that provides the same opportunity for access and participation (including privacy and independence) as for other voters.1 In other words, as jurisdictions purchase new technologies designed to facilitate voting in a range of areas, they must ensure that new systems provide people with disabilities with an experience that mirrors the experience of other voters.This report is designed to help state and local jurisdictions improve the accessibility of their voting systems. We have not conducted any direct accessibility testing of existent technologies. Rather, we set forth a set of critical questions for election officials and voters to use when assessing available voting systems, indicate whether vendors have provided any standard or custom features designed to answer these accessibility concerns, and offer an evaluation of each architectures limitations in providing an accessible voting experience to all voters.The report thus provides a foundation of knowledge from which election officials can begin to assess a voting systems accessibility. The conclusions of this report are not presented as a substitute for the evaluation and testing of a specific manufacturers voting system to determine how accessible a system is in conjunction with a particular jurisdictions election procedures and system configuration. We urge election officials to include usability and accessibility testing in their product evaluation process

Secure digital voting system based on blockchain technology

Electronic voting or e-voting has been used in varying forms since 1970s with fundamental benefits over paper based systems such as increased efficiency and reduced errors. However, there remain challenges to achieve wide spread adoption of such systems especially with respect to improving their resilience against potential faults. Blockchain is a disruptive technology of current era and promises to improve the overall resilience of e-voting systems. This paper presents an effort to leverage benefits of blockchain such as cryptographic foundations and transparency to achieve an effective scheme for e-voting. The proposed scheme conforms to the fundamental requirements for e-voting schemes and achieves end-to-end verifiability. The paper presents details of the proposed e-voting scheme along with its implementation using Multichain platform. The paper presents in-depth evaluation of the scheme which successfully demonstrates its effectiveness to achieve an end-to-end verifiable e-voting scheme

Elektronik Oy Verme Sistemlerinde Guvenlik: Deneyimler ve Turkiye Icin Oneriler

Electronic voting systems are no longer a theoretical matter and they have been successfully used in elections and referendums in some countries. With such systems some problems of paper ballots can be eliminated easily. However, these systems have their own security problems. In this article, first an evaluation of the India, Brazil and Venezuela examples within the context of the criteria for voting systems for just elections is made. Next, some suggestions about the electronic voting systems and the voting process that can be used for a secure and problem free manner application of such systems are proposed.Electronic voting systems, security, ballot, multiple vote, wholesale fraud, retail fraud, NP-completeness, Mercuri Method.

XML Based Security Model for Enhancing the Integrity and the Privacy of E-Voting Systems

As the world is becoming more technological, using electronic voting could be very beneficial in elections rather using traditional paper-based election schemes. However, there are many security related issues that can cause significant problems in electronic voting (e-voting). Violating voters’ privacy or integrity of ballots would definitely cause serious problems with the entire election process. People may refuse to accept the electronic form of elections. Existing e-voting systems use sophisticated but inefficient, and expensive techniques to satisfy the security requirements of e-voting. Therefore, most of small and mid-size electoral populations cannot employ e-voting systems in their elections and experience remarkable benefits of e-voting. In this thesis, a new electronic voting approach is proposed using extensible markup language (XML) to verify and secure the integrity as well as to preserve the privacy of the voters. The evaluation results of this thesis show that the new approach is an implementation friendly, efficient, and also cost-effective approach to safeguard integrity and privacy related security requirements of e-voting systems for small and mid-size electoral populations

Retrospective Voting in Turkey: Macro and Micro Perspectives

Recent studies have shown that party systems in emerging democracies do not always adequately reflect the various cleavages of society. Under such circumstances, retrospective voting may play a more important role than cleavage voting in determining electoral outcomes. For studies of retrospective voting, the choice between macro and micro level as the independent variable is a major methodological issue. Using individual-level data on Turkey, this paper addresses two major questions: (1) Are voters\u27 decisions based on household economic conditions or national economic conditions? Do sociopolitical conditions also count? (2) Does the future evaluation of the economy affect voting decisions apart from past evaluation? Logit models are used in this research to answer these questions

E-voting: an immature technology in a critical context

E-voting has been introduced prematurely to national elections in many countries worldwide. There are technical and organizational barriers which must be resolved before the use of e-voting can be recommended in such a critical context. Two fundamental requirements for e-voting systems are in con ict: ballot-secrecy and accuracy. We describe the nature and implications of this conflict, and examine the two main categories of proposed solutions: cryptographic voting schemes, and Voter Veried Audit Trails (VVATs). The conflict may permanently rule out the use of remote e-voting for critical elections, especially when one considers that there is no known way to reproduce the enforced privacy of a voting booth outside the supervision of a polling station. We then examine the difficulty faced by governments when they procure Information and Communication Technology (ICT) systems in general, and some mitigation strategies. We go on to describe some legal implications of the introduction of e-voting, which could have serious consequences if not adequately explored, and discuss the evaluation and maintenance of systems. In the final chapters we explore two approaches to the development of requirements for e-voting

iTrace: An Implicit Trust Inference Method for Trust-aware Collaborative Filtering

The growth of Internet commerce has stimulated the use of collaborative filtering (CF) algorithms as recommender systems. A collaborative filtering (CF) algorithm recommends items of interest to the target user by leveraging the votes given by other similar users. In a standard CF framework, it is assumed that the credibility of every voting user is exactly the same with respect to the target user. This assumption is not satisfied and thus may lead to misleading recommendations in many practical applications. A natural countermeasure is to design a trust-aware CF (TaCF) algorithm, which can take account of the difference in the credibilities of the voting users when performing CF. To this end, this paper presents a trust inference approach, which can predict the implicit trust of the target user on every voting user from a sparse explicit trust matrix. Then an improved CF algorithm termed iTrace is proposed, which takes advantage of both the explicit and the predicted implicit trust to provide recommendations with the CF framework. An empirical evaluation on a public dataset demonstrates that the proposed algorithm provides a significant improvement in recommendation quality in terms of mean absolute error (MAE).Comment: 6 pages, 4 figures, 1 tabl

The GW/LT3 VarDial 2016 shared task system for dialects and similar languages detection

This paper describes the GW/LT3 contribution to the 2016 VarDial shared task on the identification of similar languages (task 1) and Arabic dialects (task 2). For both tasks, we experimented with Logistic Regression and Neural Network classifiers in isolation. Additionally, we implemented a cascaded classifier that consists of coarse and fine-grained classifiers (task 1) and a classifier ensemble with majority voting for task 2. The submitted systems obtained state-of-the-art performance and ranked first for the evaluation on social media data (test sets B1 and B2 for task 1), with a maximum weighted F1 score of 91.94%