A Path Analysis Model to Identify the Effects of Social Media, News Media and Data Breach on Data Protection Regulation Awareness

2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2020-09-26 DOI:10.1109/IICAIET49801.2020.9257846

N. Yan, Hui Na Chua

{"title":"A Path Analysis Model to Identify the Effects of Social Media, News Media and Data Breach on Data Protection Regulation Awareness","authors":"N. Yan, Hui Na Chua","doi":"10.1109/IICAIET49801.2020.9257846","DOIUrl":null,"url":null,"abstract":"The importance of data in the digital economy has encouraged the mass collection, exchange, and processing of data. Despite the benefits of a data centric economy, the increasing volume of data available on consumers exposes them to numerous vulnerabilities. Although various literatures have studied the isolated effects of content sharing (through social media), new dissemination (through the news media), and data breach on data privacy awareness, no study have been done to examine their interrelated effects on data protection regulation awareness. Therefore, this study aims to identify the interrelated effects of content sharing (through social media), news dissemination (through the news media), and data breach on General Data Protection Regulation (GDPR) awareness. The findings of this research can be used to guide authorities in the promotion of data protection regulation awareness in an effective and efficient manner. These effects were subsequently modelled using Path Analysis under the data mining process. This study revealed that news dissemination had the greatest effect on GDPR awareness. This is followed by content sharing and data breach frequency accordingly. Additionally, it was identified that news dissemination had also an indirect effect on GDPR awareness through content sharing.","PeriodicalId":300885,"journal":{"name":"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICAIET49801.2020.9257846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

Abstract

The importance of data in the digital economy has encouraged the mass collection, exchange, and processing of data. Despite the benefits of a data centric economy, the increasing volume of data available on consumers exposes them to numerous vulnerabilities. Although various literatures have studied the isolated effects of content sharing (through social media), new dissemination (through the news media), and data breach on data privacy awareness, no study have been done to examine their interrelated effects on data protection regulation awareness. Therefore, this study aims to identify the interrelated effects of content sharing (through social media), news dissemination (through the news media), and data breach on General Data Protection Regulation (GDPR) awareness. The findings of this research can be used to guide authorities in the promotion of data protection regulation awareness in an effective and efficient manner. These effects were subsequently modelled using Path Analysis under the data mining process. This study revealed that news dissemination had the greatest effect on GDPR awareness. This is followed by content sharing and data breach frequency accordingly. Additionally, it was identified that news dissemination had also an indirect effect on GDPR awareness through content sharing.

查看原文本刊更多论文

社交媒体、新闻媒体和数据泄露对数据保护监管意识影响的路径分析模型

数据在数字经济中的重要性鼓励了数据的大量收集、交换和处理。尽管以数据为中心的经济有很多好处，但消费者可用数据量的增加使他们暴露在许多漏洞之下。尽管各种文献研究了内容共享(通过社交媒体)、新传播(通过新闻媒体)和数据泄露对数据隐私意识的孤立影响，但尚未有研究考察它们对数据保护监管意识的相互影响。因此，本研究旨在确定内容共享(通过社交媒体)、新闻传播(通过新闻媒体)和数据泄露对通用数据保护条例(GDPR)意识的相互影响。本研究结果可用于指导主管部门以有效和高效的方式促进数据保护监管意识。这些影响随后在数据挖掘过程中使用路径分析建模。本研究发现，新闻传播对GDPR意识的影响最大。其次是内容共享和数据泄露频率。此外，我们还发现新闻传播通过内容共享对GDPR意识产生间接影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)

自引率

0.00%

发文量