Big-Five Personality Prediction Based on User Behaviors at Social Network Sites

Abstract

Many customer services are already available at Social Network Sites (SNSs), including user recommendation and media interaction, to name a few. There are strong desires to provide online users more dedicated and personalized services that fit into individual's need, usually strongly depending on the inner personalities of the user. However, little has been done to conduct proper psychological analysis, crucial for explaining the user's outer behaviors from their inner personality. In this paper, we propose an approach that intends to facilitate this line of research by directly predicting the so called Big-Five Personality from user's SNS behaviors. Comparing to the conventional inventory-based psychological analysis, we demonstrate via experimental studies that users' personalities can be predicted with reasonable precision based on their online behaviors. Except for proving some former behavior-personality correlation results, our experiments show that extraversion is positively related to one's status republishing proportion and neuroticism is positively related to the proportion of one's angry blogs (blogs making people angry).

Mining Facebook Data for Predictive Personality Modeling

“…The correlation between users' social network activity and personality has been the focus of several studies in the last decade (Bai, Zhu, and Cheng 2012;Golbeck, Robles, and Turner 2011;Bachrach et al 2012). Personality traits of the Chinese most popular social network RenRen users were analyzed in (Bai, Zhu, and Cheng 2012).…”

“…The correlation between users' social network activity and personality has been the focus of several studies in the last decade (Bai, Zhu, and Cheng 2012;Golbeck, Robles, and Turner 2011;Bachrach et al 2012). Personality traits of the Chinese most popular social network RenRen users were analyzed in (Bai, Zhu, and Cheng 2012). C4.5 Decision Trees have shown the best results, yielding 69-72 percent accuracy, for a combination of features related to users' network activity along with affective linguistic features extracted from statuses and blog posts.…”

Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being

“…According to [91] personality (introversion) and abstraction are the cause for intellectual curiosity and intellectual curiosity, in addition to other traits, is the cause for vocabulary (crystallized intelligence). Personality is estimated by [95]- [97] using the individual's interactions with computers. However, it is more common to use other individuals traits to predict personality, for instance accountability [99].…”

Workshop on Computational Personality Recognition: Shared Task

“…The first pioneering works by Argamon et al 2005, Oberlander & Nowson 2006 and the seminal paper by Mairesse et al 2007, applied personality recognition to long texts, such as short essays or blog posts. The current challenges are instead related to the extraction of personality from mobile social networks (Staiano et al 2012), from social network sites (see Quercia et al 2011, Golbeck et al 2011, Bachrach et al 2012, Kosinski et al 2013) and from languages different from English (Kermanidis 2012, Bai et al 2012. There are also many other applications that can take advantage of personality recognition, including social network analysis (Celli & Rossi 2012), recommendation systems (Roshchina et Al.…”