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We introduce a new dataset of COs reporting by the private sector, which we call the Cyber Conflict Media Coverage Dataset, and media reporting on each of these operations. Consequently, we conduct a statistical analysis to identify which of these characteristics correlate with reporting quantity. This analysis shows that the use of novel techniques, specifically zero-day exploits, is a highly significant predictor of coverage quantity. Operations targeting the military or financial sector generate less coverage. We also find that cyber effect operations tend to receive more coverage compared to espionage, but this result is not statistically significant. Nonetheless, the predictive models explain limited variation in news coverage. 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引用次数: 0
摘要
是什么决定了媒体对网络冲突 (CC) 的报道?媒体偏见造成误解是冲突报道中一个公认的问题。由于网络行动(CO)的保密性和复杂性,而且大多数数据来自私营企业的营销出版物,因此这一问题在有关网络威胁的报道中可能尤为突出。由于媒体报道会影响公众的看法,因此这种偏见可能会影响冲突的态势和结果,从而造成潜在的不稳定后果。然而,很少有研究对媒体偏见进行系统研究。本研究将有关媒体报道偏见的现有文献与有关冲突的文献联系起来,根据冲突的四个相应特征,提出了有关冲突报道差异的四种理论解释。我们引入了一个新的数据集,即网络冲突媒体报道数据集(Cyber Conflict Media Coverage Dataset),该数据集包含了私营部门对 CO 的报道,以及媒体对这些行动的报道。因此,我们进行了统计分析,以确定这些特征中哪些与报道数量相关。分析表明,新技术的使用,特别是零日漏洞的使用,是预测报道数量的一个非常重要的因素。针对军事或金融部门的行动产生的报道较少。我们还发现,与间谍活动相比,网络效应行动往往得到更多的报道,但这一结果在统计上并不显著。尽管如此,预测模型仍能解释新闻报道中的有限差异。这些发现表明,与其他形式的冲突相比,媒体对 COs 的处理方式有所不同,这也有助于解释为什么尽管没有发生灾难性的网络攻击,但公众对 COs 的威胁感依然存在。
If it bleeps it leads? Media coverage on cyber conflict and misperception
What determines media coverage on cyber conflict (CC)? Media bias fostering misperception is a well-established problem in conflict reporting. Because of the secrecy and complexity surrounding cyber operations (COs), where most data moreover come from marketing publications by private sector firms, this problem is likely to be especially pronounced in reporting on cyber threats. Because media reporting shapes public perception, such bias can shape conflict dynamics and outcomes with potentially destabilizing consequences. Yet little research has examined media bias systematically. This study connects existing literature on media reporting bias with the CC literature to formulate four theoretical explanations for variation in reporting on COs based on four corresponding characteristics of a CO. We introduce a new dataset of COs reporting by the private sector, which we call the Cyber Conflict Media Coverage Dataset, and media reporting on each of these operations. Consequently, we conduct a statistical analysis to identify which of these characteristics correlate with reporting quantity. This analysis shows that the use of novel techniques, specifically zero-day exploits, is a highly significant predictor of coverage quantity. Operations targeting the military or financial sector generate less coverage. We also find that cyber effect operations tend to receive more coverage compared to espionage, but this result is not statistically significant. Nonetheless, the predictive models explain limited variation in news coverage. These findings indicate that COs are treated differently in the media than other forms of conflict, and help explain persistent threat perception among the public despite the absence of catastrophic cyberattacks.
期刊介绍:
Journal of Peace Research is an interdisciplinary and international peer reviewed bimonthly journal of scholarly work in peace research. Edited at the International Peace Research Institute, Oslo (PRIO), by an international editorial committee, Journal of Peace Research strives for a global focus on conflict and peacemaking. From its establishment in 1964, authors from over 50 countries have published in JPR. The Journal encourages a wide conception of peace, but focuses on the causes of violence and conflict resolution. Without sacrificing the requirements for theoretical rigour and methodological sophistication, articles directed towards ways and means of peace are favoured.