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Target audience analysis (TAA) is an essential part of any influence operation. To convey a change in behaviour, the overall target population is systematically segmented into target audiences (TAs) according to their expected responsiveness to different types of influence and messages, as well as their expected ability to behave in a desired way. The cyber domain poses a challenge to traditional TAA methods. Firstly, it is vast, complex and boundless, requiring effective algorithms to filter out relevant information within a meaningful timeframe. Secondly, it is constantly changing, representing a meshwork in formation, rather than a stable collection of TAA-specific data. The third challenge is that the TA consists not of people but of digital representations of individuals and groups, whose true identity, characteristics or location cannot usually be verified. To address these challenges, the authors of this chapter suggest that the concept of TAA has to be revised for use in the cyber domain. Instead of trying to analyze physical people through the cyber interface, the authors have conceptualized an abstract entity whose physical identity might not be known but whose behavioural patterns can be observed in the cyber environment. These cyber personalities (some of which can be artificial in nature) construct and share their honest interpretation of reality, as well as their carefully planned narratives in the digital environment. From the viewpoint of TAA, the only relevant quality of these entities is their potential ability to contribute to the objectives of an influence operation. As a first step, this chapter examines the cyber domain through a five-layer structure and looks at what TAA-relevant data are available for analysis. The authors also suggest a way of analyzing cyber personalities and their networks within adaptive TAs, to conduct a TAA that more effectively supports influence operations in the cyber domain. |
