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

机译:确定社会媒体,新闻媒体和数据泄露对数据保护法规意识的影响的路径分析模型

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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.
机译:数据在数字经济中的重要性鼓励了数据的大规模收集,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不断增加使他们面临许多漏洞。尽管各种文献已经研究了内容共享(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,但尚未进行研究来研究它们对数据保护法规意识的相互影响。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法规(GDPR)意识的相关影响。这项研究的结果可用于指导当局以有效和高效的方式促进数据保护法规的意识。随后在数据挖掘过程中使用路径分析对这些影响进行建模。这项研究表明,新闻传播对GDPR意识的影响最大。随后是内容共享和数据泄露频率。此外,我们发现新闻传播还通过内容共享对GDPR意识产生了间接影响。

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