Improving Quality of Election Process Using Crowdsourcing Techniques

Blerim Rexha, Ilir Murturi, Isak Shabani, Avni Rexhepi
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Quality of election process is a main factor for acknowledging the general election results. In this sense a feedback from voters is critical to maintain a desired process quality. Crowdsourcing is establishing as standard platform to capture feedback and new ideas from the participating stakeholders. This paper presents an efficient solution using crowdsourcing techniques for improving the quality of election processes through a simple feedback web form in polling stations. These polling stations are securely connected to Central Election Commission monitoring room, where the overall quality in national scale can be monitored. The survey conducted with more 600 respondents shows that this approach will be acceptable from citizens and will improve the total quality and acceptance of election results.


Crowdsourcing; crowd voting; privacy; security;

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J. Howe. The Rise of Crowdsourcing, Wired, 14(6).2006.

T. Erickson, “Some thoughts on a framework for crowdsourcing,” in CHI 2011: workshop on Crowdsourcing and human computation, pp. 1-4, 2011.

Mahmood Hosseini, Keith Phalp, Jacqui Taylor, and Raian Ali, “The Four Pillars of Crowdsourcing: A Reference Model,”

Robert R. Morris, Mira Dontcheva, Adam Finkelstein, and Elizabeth Gerber, “Affect and Creative Performance on Crowdsourcing Platforms”, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, © 2013 IEEE

Tanja Aitamurto, Aija Leiponen, Richard Tee,”The Promise of Idea Crowdsourcing – Benefits, Contexts, Limitations”

M. Buhrmester, T. Kwang, and S. D. Gosling, “Amazon's mechanical turk a new source of inexpensive, yet high-quality, data?” Perspectives on Psychological Science, 6(1), pp. 3-5, 2011.

A. Kittur, E. H. Chi, and B. Suh, “Crowdsourcing user studies with mechanical Turk,” in Proceedings of the SIGCHI conference on human factors in computing systems, pp. 453-456, ACM, 2008

D. C. Brabham, “Moving the crowd at Threadless: motivations for participation in a crowdsourcing application,” Information, Communication & Society, 13(8), pp. 1122-1145, 2010.

J. Wu, C. Damminga, K. K. Johnson, and H. Y. Kim, “Content analysis of online co-design community interactions: a case study of crowd-sourced Threadless,” Journal of Global Academy of Marketing, 20(4), pp. 334-342, 2010.

Luca de Alfaro, and Michael Shavlovsky, “CrowdGrader: A Tool For Crowdsourcing the Evaluation of Homework Assignments”

Hyunjung Park, and Jennifer Widom, “CrowdFill: Collecting Structured Data from the crowd”

Gianmario MOTTA, Linlin YOU, Daniele SACCO, Tianyi MA, “CITY FEED: a Crowdsourcing System for City Governance”, 2014 IEEE 8th International Symposium on Service Oriented System Engineering

Mirror UK Newspaper website. [Online]. Available:

Google Consumer Surveys website. [Online]. Available:

Thivya Kandappu, Vijay Sivaraman, Arik Friedman, and Roksana Boreli“Loki: A Privacy-Conscious Platform For Crowdsource Surveys”, ©2014 IEEE

Hiroshi Kajino, Yukino Baba, and Hisashi Kashima, “Instance-Privacy Preserving Crowdsourcing”

Lav R. Varshney, Aditya Vempaty, and Pramod K. Varshney “Assuring Privacy and Reliability in Crowdsourcing with Coding”

Blerim Rexha, “Using eID pseudonymity and anonymity for strengthening user freedom in Internet”, CEE e|Dem and e|Gov Days 2015, May 7-8, 2015, Budapest, Hungary

Thomas N. Smyth, Michael L. Best “Tweet to trust: social media and elections in West Africa”

Democracy in Action website. [Online]. Available:

M.-C. Yuen, I. King, and K.-S. Leung. A survey of crowdsourcing systems. In Privacy, Security, Risk and Trust (PASSAT),20lJ IEEE Third International Confernece on Social Computing (SociaICom), pages 766 -773, Oct. 2011.

Kosovo Democratic Institute website. [Online]. Available:

Bahareh Rahmanian, and Joseph G. Davis, “User Interface Design for Crowdsourcing Systems”, AVI '14, May 27 - 30, 2014, Como, Italy, Copyright 2014 ACM

Ioannis Boutsis, Vana Kalogeraki, “Crowdsourcing under Real-Time Constraints”, 2013 IEEE 27th International Symposium on Parallel & Distributed Processing

Google Charts website. [Online]. Available: https://developers.go

Edwin P. Christmann, John L. Badgett, “Interpreting Assessment Data: Statistical Techniques You Can Use”

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