Online Social Voting Techniques in Social Networks Used for Distinctive Feedback in Recommendation Systems

Internet voting is the process of collection of opinions on a particular, characterized issue to collect data about items like individuals, items, and administrations et cetera. A voting method can be utilized as a rating process by adding another measurement to it as far as the gathering meaning of ratable articles. Social networks like Twitter, LinkedIn, Facebook, and Google+ have increased noteworthy consideration as of late. Individuals began depending more on a social network for complex data prerequisites. Voting help applications are fundamentally used to prompt voters in choosing the correct option. Vote recommendation frameworks typically abused amid decisions, might be reached out to the choice of appropriate items and administrations in light of user inclinations, ratings, reviews, and profiles. Suggested System misuses relationship among users by the method for item recommendation. Mining the productive reviews from the user comments, votes, and inclinations is an intriguing territory of research as of late. The advanced patterns of information and the materialness of the recommendation procedures to fulfill the present data needs is pointed. The extensibility of the voting prompting systems/recommendation strategies in different settings is talked about alongside the proposition for new methodology that suit the present data needs

Social voting advice applications. Definitions, challenges, datasets and evaluation

Voting advice applications (VAAs) are online tools that have become increasingly popular and purportedly aid users in deciding which party/candidate to vote for during an election. In this paper we present an innovation to current VAA design which is based on the introduction of a social network element. We refer to this new type of online tool as a social voting advice application (SVAA). SVAAs extend VAAs by providing (a) community-based recommendations, (b) comparison of users’ political opinions, and (c) a channel of user communication. In addition, SVAAs enriched with data mining modules, can operate as citizen sensors recording the sentiment of the electorate on issues and candidates. Drawing on VAA datasets generated by the Preference Matcher research consortium, we evaluate the results of the first VAA—Choose4Greece—which incorporated social voting features and was launched during the landmark Greek national elections of 2012. We demonstrate how an SVAA can provide community based features and, at the same time, serve as a citizen sensor. Evaluation of the proposed techniques is realized on a series of datasets collected from various VAAs, including Choose4Greece. The collection is made available online in order to promote research in the field.Systems, Man, and Cybernetics Societ

E-Democratic Government Success Framework for United States’ Municipalities

This project develops a comprehensive E-Democratic Government Success Framework that addresses low citizen engagement in local US politics. To develop this framework, I consult the literature on democratic participation, socio-technical theory, data security and privacy, decision support systems, and design science methodology. The main contribution of this project is a five-part method artifact for implementing E-Democracy initiatives—something that has not been readily attempted, despite the decentralized nature of US democracy and the opportunities it offers to experiment with institutions and deliberative procedures. This artifact gives policymakers the means to design, implement, adopt, and evaluate E-Democracy services; and it gives citizens and third parties, such as independent watchdogs, the ability to evaluate E-Democracy initiatives. Additionally, it contributes to the growing research agenda that considers the integration of information communication technology (ICT) into the policymaking process. To evaluate the effectiveness of this artifact, I use three methods: (1) benchmarking through a comparative gap analysis of the artifact’s requirements, past E-Democracy initiatives in the United States, and cybersecurity frameworks; (2) scenario creation that considers the artifact’s application through a synthetic lawsourcing instantiation; and (3) application of defense in depth methodology through mapping artifact requirements that overlap