Literature DB >> 16784349

Personality in cyberspace: personal Web sites as media for personality expressions and impressions.

Bernd Marcus1, Franz Machilek, Astrid Schütz.   

Abstract

This research examined the personality of owners of personal Web sites based on self-reports, visitors' ratings, and the content of the Web sites. The authors compared a large sample of Web site owners with population-wide samples on the Big Five dimensions of personality. Controlling for demographic differences, the average Web site owner reported being slightly less extraverted and more open to experience. Compared with various other samples, Web site owners did not generally differ on narcissism, self-monitoring, or self-esteem, but gender differences on these traits were often smaller in Web site owners. Self-other agreement was highest with Openness to Experience, but valid judgments of all Big Five dimensions were derived from Web sites providing rich information. Visitors made use of quantifiable features of the Web site to infer personality, and the cues they utilized partly corresponded to self-reported traits. Copyright 2006 APA, all rights reserved.

Mesh:

Year:  2006        PMID: 16784349     DOI: 10.1037/0022-3514.90.6.1014

Source DB:  PubMed          Journal:  J Pers Soc Psychol        ISSN: 0022-3514


  11 in total

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Journal:  J Res Pers       Date:  2010-06-01

4.  Private traits and attributes are predictable from digital records of human behavior.

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Review 5.  Privacy in the digital world: medical and health data outside of HIPAA protections.

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6.  On Being Liked on the Web and in the "Real World": Consistency in First Impressions across Personal Webpages and Spontaneous Behavior.

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7.  How HEXACO Personality Traits Predict Different Selfie-Posting Behaviors among Adolescents and Young Adults.

Authors:  Roberto Baiocco; Antonio Chirumbolo; Dora Bianchi; Salvatore Ioverno; Mara Morelli; Maria R Nappa
Journal:  Front Psychol       Date:  2017-01-10

8.  Psychological targeting as an effective approach to digital mass persuasion.

Authors:  S C Matz; M Kosinski; G Nave; D J Stillwell
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-13       Impact factor: 11.205

9.  Predicting individual-level income from Facebook profiles.

Authors:  Sandra C Matz; Jochen I Menges; David J Stillwell; H Andrew Schwartz
Journal:  PLoS One       Date:  2019-03-28       Impact factor: 3.240

10.  Predicting active users' personality based on micro-blogging behaviors.

Authors:  Lin Li; Ang Li; Bibo Hao; Zengda Guan; Tingshao Zhu
Journal:  PLoS One       Date:  2014-01-22       Impact factor: 3.240

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