{"title":"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","authors":"Patrick Mwansa, Boniface Kabaso","doi":"10.1109/icABCD59051.2023.10220571","DOIUrl":null,"url":null,"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.","PeriodicalId":51314,"journal":{"name":"Big Data","volume":"2 1","pages":"1-10"},"PeriodicalIF":2.6000,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Perception and Expectations of Vote Counting and Validation Systems: A Survey of Electoral Stakeholders\",\"authors\":\"Patrick Mwansa, Boniface Kabaso\",\"doi\":\"10.1109/icABCD59051.2023.10220571\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":51314,\"journal\":{\"name\":\"Big Data\",\"volume\":\"2 1\",\"pages\":\"1-10\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Big Data\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1109/icABCD59051.2023.10220571\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big Data","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/icABCD59051.2023.10220571","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Perception and Expectations of Vote Counting and Validation Systems: A Survey of Electoral Stakeholders
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.
Big DataCOMPUTER 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.