Perception and Expectations of Vote Counting and Validation Systems: A Survey of Electoral Stakeholders

IF 2.6 4区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Big Data Pub Date : 2023-08-03 DOI:10.1109/icABCD59051.2023.10220571
Patrick Mwansa, Boniface Kabaso
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Abstract

Inconsistencies, unclear processes, and procedures in most democratic countries' election management, particularly vote-counting, cause mistrust and dispute in election results. This study explores the perceptions and expectations of electoral stakeholders on vote counting and validation processes in different African countries. Employing thematic analysis and using the Activity Theory as a lens, the research identifies key themes, such as technical aspects, accuracy, speed, efficiency, transparency, security, challenges, improvements, and the roles of observers and Election Management Bodies (EMBs). The findings highlight various challenges, such as poor network coverage, insufficient staff training, and corruption, informing the formation of a requirement specification for vote counting and validation systems. Despite potential drawbacks and challenges associated with technology solutions, the study proposes a set of ideal requirements specifications for an accurate, efficient, transparent, and secure election vote counting and validation process. The study contributes to ongoing discussions on transparency, accessibility, and the use of electronic voting systems to enhance electoral accuracy and integrity. It suggests avenues for future research, including evaluating legal and regulatory frameworks, voter education, technical challenges, and alternative technological approaches to vote counting and validation.
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选票计数和确认系统的感知和期望:选举利益相关者的调查
在大多数民主国家的选举管理中,特别是在计票过程中,不一致、不明确的过程和程序导致了对选举结果的不信任和争议。本研究探讨了不同非洲国家选举利益相关者对计票和确认过程的看法和期望。本研究采用专题分析并以活动理论为视角,确定了关键主题,如技术方面、准确性、速度、效率、透明度、安全性、挑战、改进以及观察员和选举管理机构(EMBs)的作用。调查结果突出了各种挑战,如网络覆盖不足、工作人员培训不足以及腐败,为选票计数和验证系统的需求规范的形成提供了信息。尽管与技术解决方案相关的潜在缺陷和挑战,该研究提出了一套理想的要求规范,以实现准确、高效、透明和安全的选举计票和验证过程。这项研究有助于正在进行的关于透明度、可及性和使用电子投票系统以提高选举准确性和完整性的讨论。它提出了未来研究的途径,包括评估法律和监管框架、选民教育、技术挑战以及计票和验证的替代技术方法。
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来源期刊
Big Data
Big Data COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
9.10
自引率
2.20%
发文量
60
期刊介绍: Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government. Big Data coverage includes: Big data industry standards, New technologies being developed specifically for big data, Data acquisition, cleaning, distribution, and best practices, Data protection, privacy, and policy, Business interests from research to product, The changing role of business intelligence, Visualization and design principles of big data infrastructures, Physical interfaces and robotics, Social networking advantages for Facebook, Twitter, Amazon, Google, etc, Opportunities around big data and how companies can harness it to their advantage.
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