Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data.

ABSTRACT: We proposed a probabilistic approach to joint modeling of participants' reliability and humans' regularity in crowdsourced affective studies. Reliability measures how likely a subject will respond to a question seriously; and regularity measures how often a human will agree with other seriously-entered responses coming from a targeted population. Crowdsourcing-based studies or experiments, which rely on human self-reported affect, pose additional challenges as compared with typical crowdsourcing studies that attempt to acquire concrete non-affective labels of objects. The reliability of participants has been massively pursued for typical non-affective crowdsourcing studies, whereas the regularity of humans in an affective experiment in its own right has not been thorou

SUBMITTER: Ye J 

PROVIDER: S-EPMC6771927 | biostudies-literature | 2019 Jan-Mar

REPOSITORIES: biostudies-literature