Abstract: A system for processing digital data signals, comprising at least one hardware processor adapted for identifying an offending social interaction by: receiving at least one signal from at least one other hardware processor, where each of the at least one signal is generated according to an action of a person and is associated with at least some of a plurality of entities, each entity having a plurality of basic entity confidence values of a plurality of basic entity attributes, and a plurality of combination entity confidence values of a plurality of combination entity attributes; and for at least one entity of the plurality of entities: updating at least one basic entity confidence value thereof according to a plurality of signal attribute values computed for the at least one signal; updating at least one combination entity confidence value thereof according to a relationship tree describing a semantic relationship.

Abstract: A system for processing digital data signals, comprising at least one hardware processor adapted to identifying an offending social interaction by: in at least one of a plurality of iterations: receiving a signal from a first other hardware processor, where the signal is generated according to an action of a first person, has a plurality of signal attributes, and is associated with a plurality of entities comprising a first entity and a second entity, each entity having a plurality of entity confidence values of a plurality of entity attributes; identifying at least one correlation between the signal and at least one other signal received from at least one second other hardware processor in at least one other of the plurality of iterations, the at least one other signal generated according to at least one other action of at least one second person and associated with another plurality of entities comprising.