Modeling of User Portrait Through Social Media

Nowadays, massive useful data of user information and social behavior have been accumulated on the Internet, providing a possibility of profiling user's personality traits online. In this paper, we propose a psychological modeling method based on computational linguistic features to profile Big...

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Main Authors: Gu, Haiqian, Wang, Jie, Wang, Ziwen, Zhuang, Bojin, Su, Fei
Format: Conference Proceeding
Language:English
Subjects:
Big Five personality
Computational modeling
Correlation
Linguistics
microblog text
Oceans
Psychology
Resonant frequency
social media
Social network services
user behavior
User portrait
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creator Gu, Haiqian
Wang, Jie
Wang, Ziwen
Zhuang, Bojin
Su, Fei
description Nowadays, massive useful data of user information and social behavior have been accumulated on the Internet, providing a possibility of profiling user's personality traits online. In this paper, we propose a psychological modeling method based on computational linguistic features to profile Big Five personality traits of users on Sina Weibo (a Twitter-like microblogging service in China) and their correlations with user's social behaviors. To the best of our knowledge, this is the first research on investigating the potential relationship between profile information, social-network behaviors and personality traits of users on Sina Weibo. Our results demonstrate an effective modeling approach to understanding demographic and psychological portraits of users on social media without customer disruption, which is useful for commercial incorporations to provide better personalized products and services.
doi_str_mv 10.1109/ICME.2018.8486595
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subjects Big Five personality
Computational modeling
Correlation
Linguistics
microblog text
Oceans
Psychology
Resonant frequency
social media
Social network services
user behavior
User portrait
title Modeling of User Portrait Through Social Media
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