Abstract: A system and method for objectively determining similarities in electronic communications. A method includes analyzing a plurality of first reference inputs to determine a plurality of first agreement scores for a first user, wherein each first reference input is made by the first user with respect to one of a plurality of electronic statements; analyzing a plurality of second reference inputs to determine a plurality of second agreement scores for a second user, wherein each second reference input is made by the second user with respect to one of the electronic statements, wherein analyzing each of the plurality of first reference inputs and the plurality of second reference inputs further includes applying a plurality of predetermined agreement rules; and generating a similarity score between the first user and the second user based on the first agreement scores, the second agreement scores, and at least one predetermined similarity rule.

Abstract: A method providing a computerized environment for human expert analyst community/ies including human expert analyst end users, including for at least one human expert analyst community: defining a prediction ontology stored in computer memory, including predetermined grammatical structure/s for predictions generated by human expert analysts in the community, the structure for conditional predictions including antecedent and consequence clauses; providing digitally represented analyst predictions, including individual analyst prediction/s expressed in the prediction ontology, being conditional, and associated with individual known network location/s from a universe thereof within the organization's computerized data network at which location, resource/s pertaining to the individual analyst prediction is stored; and generating and storing a uniform resource identifier-embedded prediction graph comprising: nodes which represent the analyst prediction's clauses, and at least one directional edge extending between

Abstract: A system and method for generating believability scores of statements in electronic discussions. A method includes receiving a first statement, wherein the first statement is at least a portion of an electronic discussion; receiving a first reference input for the first statement, wherein the first reference input is one of a supporting reference input for the first statement and an opposing reference input for the first statement; extracting, from a log file, a first metadata of a first user associated with the first reference input; analyzing the received first reference input using the extracted first metadata and at least a first predetermined rule; and generating, based on the analysis, a first believability score of the first statement.