Human and Computerized Personality Inferences from Digital Footprints on Twitter

dc.contributor.advisorSrivastava, Sanjay
dc.contributor.authorCostello, Cory
dc.date.accessioned2020-12-08T15:46:03Z
dc.date.available2020-12-08T15:46:03Z
dc.date.issued2020-12-08
dc.description.abstractThe increasing digitization of our social world has implications for personality, reputation, and their social consequences in online environments. The present dissertation is focused on how personality and reputation are reflected in digital footprints from the popular online social network Twitter, and the broader implications this has for the expression and perception of personality in online spaces. In three studies, I demonstrate that personality is reflected in the language people use in their tweets, the accounts they decide to follow, and how they construct their profile. I further examine moderators of accuracy including the number of users’ tweets, the number of accounts they follow, and the density of their follower networks. Finally, I examine intra- and interpersonal consequences of being perceived accurately or ideally, speaking to the social functions of self-presentation in online environments. This multi-method investigation provides insight into how personality is represented online, how it can be recovered using computers and human judges, and the consequences this has for individuals.en_US
dc.identifier.urihttps://hdl.handle.net/1794/25889
dc.language.isoen_US
dc.publisherUniversity of Oregon
dc.rightsAll Rights Reserved.
dc.subjectInterpersonal Perceptionen_US
dc.subjectMachine Learningen_US
dc.subjectOnline Social Networksen_US
dc.subjectPersonalityen_US
dc.subjectReputationen_US
dc.titleHuman and Computerized Personality Inferences from Digital Footprints on Twitter
dc.typeElectronic Thesis or Dissertation
thesis.degree.disciplineDepartment of Psychology
thesis.degree.grantorUniversity of Oregon
thesis.degree.leveldoctoral
thesis.degree.namePh.D.

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