{"title":"How often is Employee Anger an Insider Risk I? Detecting and Measuring Negative Sentiment versus Insider Risk in Digital Communications","authors":"E. Shaw, Maria Payri, Michael Cohn, Ilene Shaw","doi":"10.15394/JDFSL.2013.1140","DOIUrl":null,"url":null,"abstract":"This research introduced two new scales for the identification and measurement of negative sentiment and insider risk in communications in order to examine the unexplored relationship between these two constructs. The inter-rater reliability and criterion validity of the Scale of Negativity in Texts (SNIT) and the Scale of Insider Risk in Digital Communications (SIRDC) were established with a random sample of email from the Enron archive and criterion measures from established insiders, disgruntled employees, suicidal, depressed, angry, anxious, and other sampled groups. In addition, the sensitivity of the scales to changes over time as the risk of digital attack increased and transitioned to a physical attack was also examined in an actual case study. Inter-rater reliability for the SNIT was extremely high across groups while the SIRDC produced lower, but acceptable levels of agreement. Both measures also significantly distinguished the criterion groups from the overall Enron sample. The scales were then used to measure the frequency of negative sentiment and insider risk indicators in the random Enron sample and the relationship between the two constructs. While low levels of negative sentiment were found in 20% of the sample, moderate and high levels of negative sentiment were extremely rare, occurring in less than 1% of communications. Less than 4% of the sampled emails displayed indicators of insider risk on the SIRDC. Emails containing high levels of insider risk comprised less than one percent or the sample. Of the emails containing negative sentiment in the sample, only 16.3%, also displayed Journal of Digital Forensics, Security and Law, Vol. 8(1) 40 indicators of insider risk. The odds of a communication containing insider risk increased with the level of negative sentiment and only low levels of insider risk were found at low levels of negative sentiment. All of the emails found to contain insider risk indicators on the SIRDC also displayed some level of negative sentiment. The implications of these findings for insider risk detection were then examined.","PeriodicalId":43224,"journal":{"name":"Journal of Digital Forensics Security and Law","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Digital Forensics Security and Law","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15394/JDFSL.2013.1140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 7
Abstract
This research introduced two new scales for the identification and measurement of negative sentiment and insider risk in communications in order to examine the unexplored relationship between these two constructs. The inter-rater reliability and criterion validity of the Scale of Negativity in Texts (SNIT) and the Scale of Insider Risk in Digital Communications (SIRDC) were established with a random sample of email from the Enron archive and criterion measures from established insiders, disgruntled employees, suicidal, depressed, angry, anxious, and other sampled groups. In addition, the sensitivity of the scales to changes over time as the risk of digital attack increased and transitioned to a physical attack was also examined in an actual case study. Inter-rater reliability for the SNIT was extremely high across groups while the SIRDC produced lower, but acceptable levels of agreement. Both measures also significantly distinguished the criterion groups from the overall Enron sample. The scales were then used to measure the frequency of negative sentiment and insider risk indicators in the random Enron sample and the relationship between the two constructs. While low levels of negative sentiment were found in 20% of the sample, moderate and high levels of negative sentiment were extremely rare, occurring in less than 1% of communications. Less than 4% of the sampled emails displayed indicators of insider risk on the SIRDC. Emails containing high levels of insider risk comprised less than one percent or the sample. Of the emails containing negative sentiment in the sample, only 16.3%, also displayed Journal of Digital Forensics, Security and Law, Vol. 8(1) 40 indicators of insider risk. The odds of a communication containing insider risk increased with the level of negative sentiment and only low levels of insider risk were found at low levels of negative sentiment. All of the emails found to contain insider risk indicators on the SIRDC also displayed some level of negative sentiment. The implications of these findings for insider risk detection were then examined.
本研究引入了两个新的量表来识别和测量沟通中的负面情绪和内部风险,以检验这两个结构之间未被探索的关系。采用安然档案中的随机电子邮件样本和来自已建立的内部人员、不满员工、自杀、抑郁、愤怒、焦虑和其他抽样群体的标准测量,建立了文本否定性量表(SNIT)和数字通信内部人员风险量表(SIRDC)的评分者间信度和标准效度。此外,在实际案例研究中,还研究了随着数字攻击风险增加并过渡到物理攻击时,量表对时间变化的敏感性。SNIT的组间信度极高,而SIRDC的一致性较低,但可以接受。这两项措施也显著地将标准组与整个安然样本区分开来。然后使用量表测量随机安然样本中负面情绪和内幕风险指标的频率以及两者之间的关系。虽然在20%的样本中发现了低水平的负面情绪,但中度和高度的负面情绪极为罕见,出现在不到1%的交流中。在抽样的电子邮件中,显示SIRDC内部风险指标的邮件不到4%。包含高度内幕风险的电子邮件在样本中所占比例不到1%。在样本中包含负面情绪的电子邮件中,只有16.3%还显示了Journal Of Digital Forensics, Security and Law, Vol. 8(1) 40个内部风险指标。沟通中包含内幕风险的几率随着负面情绪水平的增加而增加,只有在低水平的负面情绪中发现了低水平的内幕风险。在SIRDC上发现的所有包含内幕风险指标的电子邮件也显示出一定程度的负面情绪。然后对这些发现对内部风险检测的影响进行了检查。