Prikaz osnovnih podataka o dokumentu

dc.creatorTucaković, Lana
dc.creatorBojić, Ljubiša
dc.date.accessioned2022-07-01T10:46:15Z
dc.date.available2022-07-01T10:46:15Z
dc.date.issued2022
dc.identifier.urihttp://rifdt.instifdt.bg.ac.rs/123456789/2632
dc.description.abstractAccurately forming personality judgments is of vital importance in a wide range of social interactions. Although people are able to make fairly accurate personality judgments of others, recent technological advances in machine learning made computers better at predicting personality than humans. In this review, we will focus on computer-based personality judgments and their theoretical considerations and practical implications in politics. More precisely, we will discuss (i) the use of social platforms and digital devices in collecting so-called digital footprints, (ii) personality traits that are assessed based on digital footprints, (iii) advantages and disadvantages of using computer-based personality judgments, (iv) persuasive communication based on digital footprints of personality traits, and lastly, (v) the matters of privacy and informed consent. With this review, we aim to provide a guide how to use computer- based personality judgment in a way to serve the public interest.sr
dc.language.isoensr
dc.publisherBeograd: Institut za političke studijesr
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200025/RS//sr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceSrpska politička misaosr
dc.subjectpersonality judgmentsr
dc.subjectsocial mediasr
dc.subjectdigital footprintsr
dc.subjectpersuasive communicationsr
dc.titleComputer-based personality judgments from digital footprints: theoretical considerations and practical implications in politicssr
dc.typearticlesr
dc.rights.licenseBYsr
dc.citation.issue4
dc.citation.volume74
dc.citation.spage235
dc.citation.epage253
dc.identifier.doi10.22182/spm.7442021.10
dc.type.versionpublishedVersionsr
dc.identifier.fulltexthttp://rifdt.instifdt.bg.ac.rs/bitstream/id/9218/SPM-74-10.pdf


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