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Demographics are inferred targeting conditions because LinkedIn uses algorithms to estimate these attributes based on a user's profile information, activity on the platform, and connections, rather than directly stated data. For example, age range or gender might be inferred. In contrast, Education, Interests and Traits, Job Experience, Location, Language, and Company are typically explicitly stated by users on their profiles or directly observable, making them directly provided or declared targeting conditions.
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