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Rhizomatic Target Audiences of the Cyber Domain

机译:网络领域的根际目标受众

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Target Audience Analysis (TAA) is a process of finding suitable target audiences for psychological operations (PSYOPS). Typically, a TAA is a one-way process with some kind of a feedback system. The cyber domain presents a challenge to this type of sequential, linear process by refusing to stay still while the process is being executed, possibly leading to results from yesterday's data in an environment that no longer exists today. Another challenge is that identifiable human beings - the traditional targets of PSYOPS - are not the only inhabitants of the cyber domain. Physical devices, nicknames, IP addresses, networks, and a vast amount of data populate this environment, in which there are no human beings, only their presentations and behavioural residue in a multitude of forms. The authors argue that while the psychological theories behind influence operations still form the basis for PSYOPS as a whole, a re-thinking of methods is necessary for the cyber domain. To conceptualize the cyber domain as a platform for influence operations, the authors suggest a five-layer structure based on Martin C. Libicki's model. In each of these five layers, the target audiences are present in different forms. Thus, all information between humans is filtered through all of the layers with their own rules and causalities. In order to be successful in any influence attempt, one must understand and utilize the characteristics of each layer. The authors also propose that the rhizome theory is the most effective theoretical approach for understanding the complex interactions within the cyber domain.
机译:目标受众分析(TAA)是为心理操作(PSYOPS)寻找合适的目标受众的过程。通常,TAA是带有某种反馈系统的单向过程。通过拒绝在执行过程中保持静止状态,网络域对这种顺序的线性过程提出了挑战,这可能导致在今天不再存在的环境中昨天数据的结果。另一个挑战是,可识别的人类-PSYOPS的传统目标-并非网络领域的唯一居民。物理设备,昵称,IP地址,网络和大量数据填充了这种环境,在这种环境中,没有人,只有它们的呈现形式和行为残差以多种形式存在。作者认为,尽管影响力操作背后的心理学理论仍然构成PSYOPS的整体基础,但对于网络领域而言,有必要对方法进行重新思考。为了将网络域概念化为影响力运营的平台,作者建议基于Martin C. Libicki模型的五层结构。在这五个层次中,目标受众以不同的形式出现。因此,人与人之间的所有信息都将按照自己的规则和因果关系通过所有层次进行过滤。为了成功进行任何影响尝试,必须了解并利用每一层的特征。作者还提出,根茎理论是理解网络领域内复杂相互作用的最有效的理论方法。

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