Embodiments relate to supporting analysis of evaluations found on the internet. An aspect includes acquiring evaluation information comprising evaluations of each a first plurality of evaluation targets made by any of a plurality of evaluators. Another aspect includes generating consensus information regarding an evaluation of a predetermined evaluation target by determining a coincidence between a dispersion degree of evaluations with respect to the predetermined evaluation target and a central value of dispersion degrees of evaluations with respect to individual ones of the first plurality of evaluation targets. Another aspect includes generating distinctiveness information regarding the evaluations made by a predetermined evaluator by determining coincidence between a dispersion degree of evaluations made by the predetermined evaluator and a central value of dispersion degrees of evaluations made by individual ones of the plurality of evaluators. Yet another aspect includes outputting the consensus information and the distinctiveness information.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for supporting analysis of evaluations found on the internet, comprising: acquiring evaluation information comprising evaluations of each a first plurality of evaluation targets made by any of a plurality of evaluators evaluating any of the first plurality of evaluation targets, and evaluations made by each of the plurality of evaluators with respect to evaluation targets out of a second plurality of evaluation targets evaluated by any of the plurality of evaluators, wherein a number of the second plurality of evaluation targets is greater than or equal to a number of the first plurality of evaluation targets; generating consensus information regarding an evaluation of a predetermined evaluation target by determining a coincidence between a dispersion degree of evaluations with respect to the predetermined evaluation target and a central value of dispersion degrees of evaluations with respect to individual ones of the first plurality of evaluation targets based on the evaluation information; generating distinctiveness information regarding the evaluations made by a predetermined evaluator by determining coincidence between a dispersion degree of evaluations made by the predetermined evaluator and a central value of dispersion degrees of evaluations made by individual ones of the plurality of evaluators based on the evaluation information; and outputting the consensus information and the distinctiveness information. 2. The method of claim 1, further comprising outputting cause information which represents a cause of the evaluation of the predetermined evaluation target made by the predetermined evaluator, the cause of the evaluation being defined in advance for a combination of the consensus represented by the consensus information and the distinctiveness represented by the distinctiveness information. 3. The method of claim 1, further comprising generating consistency information about consistency of the evaluations of the predetermined evaluation target made by the predetermined evaluator by determining coincidence between a dispersion degree of evaluations of the predetermined evaluation target made by the predetermined evaluator and a dispersion degree of evaluations of the evaluation targets evaluated by the predetermined evaluator out of the second plurality of evaluation targets of the predetermined evaluator, based on the evaluation information. 4. The method of claim 3, further comprising outputting cause information which represents a cause of the evaluation of the predetermined evaluation target made by the predetermined evaluator, the cause of the evaluation being defined in advance for a combination of the consensus represented by the consensus information, the distinctiveness represented by the distinctiveness information, and the consistency represented by the consistency information. 5. The method of claim 4, further comprising: outputting information that there is a low likelihood that the cause of the evaluation of the predetermined evaluation target made by the predetermined evaluator is a rumor, as the cause information when a level of the consensus represented by the consensus information, a level of the distinctiveness represented by the distinctiveness information, and a level of the consistency represented by the consistency information are higher than respective thresholds; and outputting information that there is a high likelihood that the cause of the evaluation of the predetermined evaluation target made by the predetermined evaluator is a rumor, as the cause information when the level of the consensus represented by the consensus information is lower than the threshold, the level of the distinctiveness represented by the distinctiveness information is lower than the threshold, and the level of the consistency represented by the consistency information is higher than the threshold. 6. A computer program product for supporting analysis of evaluations found on the internet, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to: acquiring evaluation information comprising evaluations of each a first plurality of evaluation targets made by any of a plurality of evaluators evaluating any of the first plurality of evaluation targets, and evaluations made by each of the plurality of evaluators with respect to evaluation targets out of a second plurality of evaluation targets evaluated by any of the plurality of evaluators, wherein a number of the second plurality of evaluation targets is greater than or equal to a number of the first plurality of evaluation targets; generating consensus information regarding an evaluation of a predetermined evaluation target by determining a coincidence between a dispersion degree of evaluations with respect to the predetermined evaluation target and a central value of dispersion degrees of evaluations with respect to individual ones of the first plurality of evaluation targets based on the evaluation information; generating distinctiveness information regarding the evaluations made by a predetermined evaluator by determining coincidence between a dispersion degree of evaluations made by the predetermined evaluator and a central value of dispersion degrees of evaluations made by individual ones of the plurality of evaluators based on the evaluation information; and outputting the consensus information and the distinctiveness information. 7. The computer program product of claim 6, further comprising outputting cause information which represents a cause of the evaluation of the predetermined evaluation target made by the predetermined evaluator, the cause of the evaluation being defined in advance for a combination of the consensus represented by the consensus information and the distinctiveness represented by the distinctiveness information. 8. The computer program product of claim 6, further comprising generating consistency information about consistency of the evaluations of the predetermined evaluation target made by the predetermined evaluator by determining coincidence between a dispersion degree of evaluations of the predetermined evaluation target made by the predetermined evaluator and a dispersion degree of evaluations of the evaluation targets evaluated by the predetermined evaluator out of the second plurality of evaluation targets of the predetermined evaluator, based on the evaluation information. 9. The computer program product of claim 8, further comprising outputting cause information which represents a cause of the evaluation of the predetermined evaluation target made by the predetermined evaluator, the cause of the evaluation being defined in advance for a combination of the consensus represented by the consensus information, the distinctiveness represented by the distinctiveness information, and the consistency represented by the consistency information. 10. The computer program product of claim 9, further comprising: outputting information that there is a low likelihood that the cause of the evaluation of the predetermined evaluation target made by the predetermined evaluator is a rumor, as the cause information when a level of the consensus represented by the consensus information, a level of the distinctiveness represented by the distinctiveness information, and a level of the consistency represented by the consistency information are higher than respective thresholds; and outputting information that there is a high likelihood that the cause of the evaluation of the predetermined evaluation target made by the predetermined evaluator is a rumor, as the cause information when the level of the consensus represented by the consensus information is lower than the threshold, the level of the distinctiveness represented by the distinctiveness information is lower than the threshold, and the level of the consistency represented by the consistency information is higher than the threshold. 11. A computer system for supporting analysis of evaluations found on the internet, the system comprising: a memory; and a processor, communicatively coupled to said memory, the computer system configured to perform a method comprising: acquiring evaluation information comprising evaluations of each a first plurality of evaluation targets made by any of a plurality of evaluators evaluating any of the first plurality of evaluation targets, and evaluations made by each of the plurality of evaluators with respect to evaluation targets out of a second plurality of evaluation targets evaluated by any of the plurality of evaluators, wherein a number of the second plurality of evaluation targets is greater than or equal to a number of the first plurality of evaluation targets; generating consensus information regarding an evaluation of a predetermined evaluation target by determining a coincidence between a dispersion degree of evaluations with respect to the predetermined evaluation target and a central value of dispersion degrees of evaluations with respect to individual ones of the first plurality of evaluation targets based on the evaluation information; generating distinctiveness information regarding the evaluations made by a predetermined evaluator by determining coincidence between a dispersion degree of evaluations made by the predetermined evaluator and a central value of dispersion degrees of evaluations made by individual ones of the plurality of evaluators based on the evaluation information; and outputting the consensus information and the distinctiveness information. 12. The system of claim 11, further comprising outputting cause information which represents a cause of the evaluation of the predetermined evaluation target made by the predetermined evaluator, the cause of the evaluation being defined in advance for a combination of the consensus represented by the consensus information and the distinctiveness represented by the distinctiveness information. 13. The system of claim 11, further comprising generating consistency information about consistency of the evaluations of the predetermined evaluation target made by the predetermined evaluator by determining coincidence between a dispersion degree of evaluations of the predetermined evaluation target made by the predetermined evaluator and a dispersion degree of evaluations of the evaluation targets evaluated by the predetermined evaluator out of the second plurality of evaluation targets of the predetermined evaluator, based on the evaluation information. 14. The system of claim 13, further comprising outputting cause information which represents a cause of the evaluation of the predetermined evaluation target made by the predetermined evaluator, the cause of the evaluation being defined in advance for a combination of the consensus represented by the consensus information, the distinctiveness represented by the distinctiveness information, and the consistency represented by the consistency information. 15. The system of claim 14, further comprising: outputting information that there is a low likelihood that the cause of the evaluation of the predetermined evaluation target made by the predetermined evaluator is a rumor, as the cause information when a level of the consensus represented by the consensus information, a level of the distinctiveness represented by the distinctiveness information, and a level of the consistency represented by the consistency information are higher than respective thresholds; and outputting information that there is a high likelihood that the cause of the evaluation of the predetermined evaluation target made by the predetermined evaluator is a rumor, as the cause information when the level of the consensus represented by the consensus information is lower than the threshold, the level of the distinctiveness represented by the distinctiveness information is lower than the threshold, and the level of the consistency represented by the consistency information is higher than the threshold.