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Predicting Big Five Personality Traits of Microblog Users

Authors:

Tingshao ZhuAuthors Info & Claims

WI-IAT '13: Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 01

Pages 501 - 508

https://doi.org/10.1109/WI-IAT.2013.70

Published: 17 November 2013 Publication History

Abstract

Personality can be defined as a set of characteristics which makes a person unique. The study of personality is of central importance in psychology. Conventional personality assessment is performed by self-report inventory, which costs much manual efforts and cannot be done in real time. To solve these problems, this research aims to measure the Big-Five personality from the usages of Sina Microblog objectively. By conducting a user study with 444 users, this paper proposes multi-task regression and incremental regression algorithms to predict the Big-Five personality from online behaviors. The results indicate that personality can be predicted with a high accuracy through online Microblog usage.

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Cited By

Kordyaka BLaato SJahn KHamari JNiehaves B(2023)The Cycle of Toxicity: Exploring Relationships between Personality and Player Roles in Toxic Behavior in Multiplayer Online Battle Arena GamesProceedings of the ACM on Human-Computer Interaction10.1145/36110437:CHI PLAY(611-641)Online publication date: 29-Sep-2023
https://dl.acm.org/doi/10.1145/3611043
Xue DWu LHong ZGuo SGao LWu ZZhong XSun J(2018)Deep learning-based personality recognition from text posts of online social networksApplied Intelligence10.1007/s10489-018-1212-448:11(4232-4246)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1007/s10489-018-1212-4
Uddin MSubrahmanian VRokne JKumar RCaverlee JTong H(2016)Noise removal and structured data detection to improve search for personality featuresProceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.5555/3192424.3192672(1349-1355)Online publication date: 18-Aug-2016
https://dl.acm.org/doi/10.5555/3192424.3192672
Show More Cited By

Index Terms

Predicting Big Five Personality Traits of Microblog Users
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
2. Information systems
  1. Information retrieval
  2. Information storage systems

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Information

Published In

cover image ACM Conferences

WI-IAT '13: Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 01

November 2013

609 pages

ISBN:9780769551456

Sponsors

SIGAI: ACM Special Interest Group on Artificial Intelligence

Publisher

IEEE Computer Society

United States

Publication History

Published: 17 November 2013

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Cited By

Kordyaka BLaato SJahn KHamari JNiehaves B(2023)The Cycle of Toxicity: Exploring Relationships between Personality and Player Roles in Toxic Behavior in Multiplayer Online Battle Arena GamesProceedings of the ACM on Human-Computer Interaction10.1145/36110437:CHI PLAY(611-641)Online publication date: 29-Sep-2023
https://dl.acm.org/doi/10.1145/3611043
Xue DWu LHong ZGuo SGao LWu ZZhong XSun J(2018)Deep learning-based personality recognition from text posts of online social networksApplied Intelligence10.1007/s10489-018-1212-448:11(4232-4246)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1007/s10489-018-1212-4
Uddin MSubrahmanian VRokne JKumar RCaverlee JTong H(2016)Noise removal and structured data detection to improve search for personality featuresProceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.5555/3192424.3192672(1349-1355)Online publication date: 18-Aug-2016
https://dl.acm.org/doi/10.5555/3192424.3192672
Farnadi GSushmita SSitaraman GTon NDe Cock MDavalos SCelli FLepri B(2014)A Multivariate Regression Approach to Personality Impression Recognition of VloggersProceedings of the 2014 ACM Multi Media on Workshop on Computational Personality Recognition10.1145/2659522.2659526(1-6)Online publication date: 7-Nov-2014
https://dl.acm.org/doi/10.1145/2659522.2659526

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