Using Data for Content

With the proliferation of machines as the proxy between people and content, creators and marketers must now design and target the machines to understand and reach fans. If the machines are surfacing content based on audiences responses to either biases, or fake news, what does this mean for how we need to analyze the data to understand these audiences so that we can effectively engage them? When humanity’s collective understanding and perception of reality is fragmenting exponentially how do we normalize our design and targeting models to factor in this variance of what is real and what isn’t?