Recomendation systems and crowdsourcing: a good wedding for enabling innovation? Results from technology affordances and costraints theory

Recommendation Systems have come a long way since their first appearance in the e-commerce platforms.Since then, evolved Recommendation Systems have been successfully integrated in social networks. Now its time to test their usability and replicate their success in exciting new areas of web -enabled phenomena. One of these is crowdsourcing. Research in the IS field is investigating the need, benefits and challenges of linking the two phenomena. At the moment, empirical works have only highlighted the need to implement these techniques for tasks assignment in crowdsourcing distributed work platforms and the derived benefits for contributors and firms. We review the variety of the tasks that can be crowdsourced through these platforms and theoretically evaluate the efficiency of using RS to recommend a task in creative crowdsourcing platforms. Adopting a Technology Affordances and Constraints Theory, an emerging perspective in the Information Systems (IS) literature to understand technology use and consequences, we anticipate the tensions that this implementation can generate

StakeSource: harnessing the power of crowdsourcing and social networks in stakeholder analysis

Projects often fail because they overlook stakeholders. Unfortunately, existing stakeholder analysis tools only capture stakeholders' information, relying on experts to manually identify them. StakeSource is a web-based tool that automates stakeholder analysis. It "crowdsources" the stakeholders themselves for recommendations about other stakeholders and aggregates their answers using social network analysis

DEVELOPMENT AND DISTRIBUTION OF INNOVATION FORMS OF SOCIAL CAPITAL ACCUMULATION IN UKRAINE

In the article author defines the essence of social capital and basic theoretical approaches to its understanding. The possibility of diversification and dissemination of innovative forms of social capital accumulation in Ukraine have been proved. It is shown that new forms of manifestation and realization of social capital are emerging, which create new opportunities for socialization of economic relations and formation of new public institutions, which can reverse the development of the economy and the accumulation of social capital. It describes such new forms of social capital as: social entrepreneurship, social Internet networks, freelancing, sharing economy, digitization of economic entities interaction, crowdfunding, crowdsourcing, crowdsourcing, e-government, creation of “digital” communities, specially designed programs and projects, the task of which is to stimulate the activity of citizens and regulate their participation in solving local issues, the formation of corporate social capital, the creation of special social institutions at the global level.In the article author defines the essence of social capital and basic theoretical approaches to its understanding. The possibility of diversification and dissemination of innovative forms of social capital accumulation in Ukraine have been proved. It is shown that new forms of manifestation and realization of social capital are emerging, which create new opportunities for socialization of economic relations and formation of new public institutions, which can reverse the development of the economy and the accumulation of social capital. It describes such new forms of social capital as: social entrepreneurship, social Internet networks, freelancing, sharing economy, digitization of economic entities interaction, crowdfunding, crowdsourcing, crowdsourcing, e-government, creation of “digital” communities, specially designed programs and projects, the task of which is to stimulate the activity of citizens and regulate their participation in solving local issues, the formation of corporate social capital, the creation of special social institutions at the global level

Communication Network Design: Balancing Modularity and Mixing via Optimal Graph Spectra

By leveraging information technologies, organizations now have the ability to design their communication networks and crowdsourcing platforms to pursue various performance goals, but existing research on network design does not account for the specific features of social networks, such as the notion of teams. We fill this gap by demonstrating how desirable aspects of organizational structure can be mapped parsimoniously onto the spectrum of the graph Laplacian allowing the specification of structural objectives and build on recent advances in non-convex programming to optimize them. This design framework is general, but we focus here on the problem of creating graphs that balance high modularity and low mixing time, and show how "liaisons" rather than brokers maximize this objective

Social Turing Tests: Crowdsourcing Sybil Detection

As popular tools for spreading spam and malware, Sybils (or fake accounts) pose a serious threat to online communities such as Online Social Networks (OSNs). Today, sophisticated attackers are creating realistic Sybils that effectively befriend legitimate users, rendering most automated Sybil detection techniques ineffective. In this paper, we explore the feasibility of a crowdsourced Sybil detection system for OSNs. We conduct a large user study on the ability of humans to detect today's Sybil accounts, using a large corpus of ground-truth Sybil accounts from the Facebook and Renren networks. We analyze detection accuracy by both "experts" and "turkers" under a variety of conditions, and find that while turkers vary significantly in their effectiveness, experts consistently produce near-optimal results. We use these results to drive the design of a multi-tier crowdsourcing Sybil detection system. Using our user study data, we show that this system is scalable, and can be highly effective either as a standalone system or as a complementary technique to current tools

The Impact of Networks of Public on Crowdsourcing in the UK Heritage Sector

This research explores the interaction between internal heritage personnel and the public over social media. Focusing on the phenomena of crowdsourcing and what it means to the individuals involved with it, the study employs a qualitative, interpretive approach, focusing on contemporary history (\u27living memory\u27) interactions between participants of three UK Armed Forces museums and the public. Using the conceptual framework of networks of practice as a sensitizing concept in order to gain insight into how museum personnel employ, instigate and respond to the activity of crowdsourcing, participant interviews were analyzed using Grounded Theory Methodology. The findings challenge contentions in literature on the formation of, and knowledge exchange in, networks of practice suggesting that rather than extending existing understanding of such networks, a new form of electronic network has emerged around the museum context: the network of public