"We investigated how personality affects both peer-perceived popularity (status) and sociometric popularity (liking) in online social networks (OSNs). Self-ratings of agentic (e.g., extraversion), communal (e.g., agreeableness), and creativity traits (e.g., openness) were collected from 103 OSN profile owners (targets). Unacquainted perceivers provided status and liking judgments based on either targets' full OSN profiles or profile pictures. Independent coders assessed behavioral cues (e.g., attractiveness) from targets' OSN profiles. Results showed that targets scoring high on agency were ascribed a high status (without necessarily being liked), whereas targets scoring high on creativity or communion were liked. Brunswikian lens model analyses revealed mediating behavioral cues. Analyses based on profile pictures suggested that the differentiated impact of personality on popularity is a fast process."
"Specifically, we differentiate between two faces of popularity judgments during first encounters: (a) whom an individual judges as being popular among others (peer-perceived popularity, i.e., status), and (b) whom an individual personally likes (sociometric popularity, i.e., liking). This distinction is important with regard to the consequences of our first impressions. Initiating contact with high-status individuals may be useful for gathering and distributing information as these people are well connected to others. Relationship initiation with people whom one personally likes may end up in a close friendship or a romantic partnership."
Personality Expression and Impression Formation in Online Social Networks: An Integrative Approach to Understanding the Processes of Accuracy, Impression Management, and Meta-Accuracy
"In this paper we investigate personality expression and impression formation processes in online social networks (OSNs). We explore whether, when, and why people accurately judge others' personalities (accuracy), successfully manage the impressions that others form of them (impression management), and accurately infer others' impressions of them (meta-accuracy) at zero acquaintance. Based on targets' OSN profiles (N=103), overall perceiver impressions were collected and compared to targets' self-view, desired impression, and meta-perception. In addition, independent groups of thin-slice perceivers based their personality impressions solely on one of four kinds of information within the OSN profiles (profile picture, interests field, group list, notice board), and more than 300 OSN cues (e.g., attractive person, number of friends) were coded. Results showed evidence of accuracy, impression management, and metaaccuracy, but their extent was moderated by the trait (e.g., Big Five, self-esteem), the kind of information, and the interplay of trait and information. Findings could be explained by cue expression and cue utilization processes (lens model analyses). Future prospects for studying personality impressions in online and offline environments are discussed."
Remember previous research showed: browsing profiles at social networking sites or online dating sites, any person will assess quite well the level of Extraversion of the other persons and not well the other personality traits and people who make an intensive use of social nets, had some personality disorders.
Please read also:
PAPER: "The role of Facebook in romantic relationship development" Experience had shown serious daters never use social networking sites/applications for dating purposes and Online daters belong to 3, 4, 5 or 6 online dating sites at the same time.
"Stability and change of personality across the life course"
and
"personality traits are highly stable"
Remember:
Personality traits are highly stable in persons over 25 years old to 45 years old (the group of persons who could be most interested in serious online dating) They have only minor changes in personality (less than 1 interval in a normative test) and the 16PF5 test will not "see" them because the output of the 16PF5 test are 16 variables STens (Standard Tens) taking integer values from 1 to 10. STens divide the score scale into ten units. STens have the advantage that they enable results to be thought of in terms of bands of scores, rather than absolute raw scores. These bands are narrow enough to distinguish statistically significant differences between candidates, but wide enough not to over emphasize minor differences between candidates.
---
What will come after the Social Networking wave?
The Next Big Investment Opportunity on the Internet will be .... Personalization!
Personality Based Recommender Systems and Strict Personality Based Compatibility Matching Engines for serious Online Dating with the normative 16PF5 personality test.
The market remains enormous!!
No comments:
Post a Comment