2. The processor-implemented method of claim 1 , further comprising: receiving, by one or more processors, ratings of levels of how disturbing the subjectively disturbing synthetic context-based object is for a particular demographic group; applying, by one or more processors, the ratings to define a subjective disturbance weight for the subjectively disturbing synthetic context-based object; and populating, by one or more processors, the n-tuple with the subjective disturbance weight.
2. The processor-implemented method of claim 1 , further comprising: receiving, by one or more processors, ratings of levels of how disturbing the subjectively disturbing synthetic context-based object is for a particular demographic group; applying, by one or more processors, the ratings to define a subjective disturbance weight for the subjectively disturbing synthetic context-based object; and populating, by one or more processors, the n-tuple with the subjective disturbance weight. 3. The processor-implemented method of claim 2 , further comprising: selectively pulling, by one or more processors, the parsed subjectively disturbing content into the context-based data gravity well based on the subjective disturbance weight in the n-tuple.