Human and Computerized Personality Inferences from Digital Footprints on Twitter
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Date
2020-12-08
Authors
Costello, Cory
Journal Title
Journal ISSN
Volume Title
Publisher
University of Oregon
Abstract
The 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.
Description
Keywords
Interpersonal Perception, Machine Learning, Online Social Networks, Personality, Reputation