Identifying Causal Structures from Cyberstalking: Behaviors Severity and Association

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Shkurte Luma-Osmani, F. Ismaili, Pankaj Pathak, Xhemal Zenuni
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引用次数: 2

Abstract

—This paper presents an etiological cyberstalking study, meaning the use of various technologies and internet in general to harass or to stalk someone. The novelty of the paper is the multivariate empirical approach of cyberstalking victimization that has received less attention from the research community. Also, there is a lack of such studies from the causal perspective. It happens, since in most of the studies, a priority is given on a single causation identification, whereas the data examination used for mining causal relationships in this paper presents a novel and great potential to detect combined or multiple cause factors. The paper focuses in the impact that variables such as age, gender and the fact whether the participant has ever harassed someone, is related to the fact of being victim of cyberstalking. The research aims to find the causes of cyberstalking in high school’s teenagers. Furthermore, an exploratory data analysis has been performed. A weak and moderate correlation between the factors on the dataset is emphasized. The odds ratio among the variables has been calculated, which implies that girls are twice as likely as boys to be cyberstalked. Similarly, concerning outcomes related to cyberstalking frequency recidivism are noticed.
从网络跟踪中识别因果结构:行为严重性和关联
本文介绍了一项病因学网络跟踪研究,这意味着使用各种技术和互联网来骚扰或跟踪某人。本文的新颖之处在于对网络跟踪受害者的多元实证研究,这一研究较少受到研究界的关注。此外,从因果关系的角度来看,这方面的研究也很缺乏。之所以会发生这种情况,是因为在大多数研究中,优先考虑的是单一的因果关系识别,而在本文中用于挖掘因果关系的数据检查提供了一种新的和巨大的潜力来检测组合或多个原因因素。本文重点研究了年龄、性别和参与者是否曾经骚扰过他人等变量对网络跟踪受害者的影响。这项研究旨在找出高中生网络跟踪的原因。此外,还进行了探索性数据分析。强调数据集上的因素之间的弱而中等的相关性。这些变量之间的比值比已经被计算出来,这意味着女孩被网络跟踪的可能性是男孩的两倍。同样,也注意到与网络跟踪频率累犯有关的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Communications Software and Systems
Journal of Communications Software and Systems Engineering-Electrical and Electronic Engineering
CiteScore
2.00
自引率
14.30%
发文量
28
审稿时长
8 weeks
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