Access the full text.
Sign up today, get DeepDyve free for 14 days.
W. Tsai, L. Men (2017)
Consumer engagement with brands on social network sites: A cross-cultural comparison of China and the USAJournal of Marketing Communications, 23
Gee-Woo Bock, R. Zmud, Young-Gul Kim, Jae-Nam Lee (2005)
Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Factors, and Organizational ClimateMIS Q., 29
D. Hoffman, T. Novak (1996)
Marketing in Hypermedia Computer-Mediated Environments: Conceptual FoundationsJournal of Marketing, 60
Yuping Liu, L. Shrum (2002)
What is Interactivity and is it Always Such a Good Thing? Implications of Definition, Person, and Situation for the Influence of Interactivity on Advertising EffectivenessJournal of Advertising, 31
R. McCrae, P. Costa (1987)
Validation of the five-factor model of personality across instruments and observers.Journal of personality and social psychology, 52 1
Internetworking Indonesia, 9
C. Wiertz, Ko Ruyter (2007)
Beyond the Call of Duty: Why Customers Contribute to Firm-hosted Commercial Online CommunitiesOrganization Studies, 28
Gerry Beamish (2005)
How chief executives learn and what behaviour factors distinguish them from other peopleIndustrial and Commercial Training, 37
Shengli Deng, Yong Liu, Hongxiu Li, Feng Hu (2013)
How Does Personality Matter? An Investigation of the Impact of Extraversion on Individuals' SNS UseCyberpsychology, behavior and social networking, 16 8
D. Hughes, Moss Rowe, M. Batey, Andrew Lee (2012)
A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usageComput. Hum. Behav., 28
Gregory Park, H. Schwartz, J. Eichstaedt, Margaret Kern, Michal Kosinskihttps://www.semanticscholar.org/me/account, D. Stillwell, L. Ungar, M. Seligman (2015)
Automatic personality assessment through social media language.Journal of personality and social psychology, 108 6
Teresa Correa, A. Hinsley, H. Zúñiga (2010)
Who interacts on the Web?: The intersection of users' personality and social media useComput. Hum. Behav., 26
C. Stavros, Matthew Meng, K. Westberg, F. Farrelly (2014)
Understanding fan motivation for interacting on social mediaSport Management Review, 17
Pin-Hwa Chen, Jen-Rung Wu (2010)
Rewards for Reading: Their Effects on Reading Motivation.Journal of Instructional Pedagogies, 3
J. Reynierse, Dennis Ackerman, Alexis Fink, J. Harker (2000)
The Effects of Personality and Management Role on Perceived Values in Business SettingsInternational Journal of Value-Based Management, 13
Harald Schoen, Daniel Gayo-Avello, P. Metaxas, Eni Mustafaraj, M. Strohmaier, P. Gloor (2013)
The power of prediction with social mediaInternet Res., 23
Kelly Moore, James McElroy (2012)
The influence of personality on Facebook usage, wall postings, and regretComput. Hum. Behav., 28
A. Griffin, L. Guillette, S. Healy (2015)
Cognition and personality: an analysis of an emerging field.Trends in ecology & evolution, 30 4
Lisa Bouchard (2018)
AAHPM Leadership Forum: Ignite—Utilizing DISC Behavioral Styles to Increase Leadership and Team Effectiveness in Palliative Care and Hospice Settings (P15)Journal of Pain and Symptom Management, 55
R. Kotov, Wakiza Gámez, F. Schmidt, D. Watson (2010)
Linking "big" personality traits to anxiety, depressive, and substance use disorders: a meta-analysis.Psychological bulletin, 136 5
Yair Amichai-Hamburger, Gideon Vinitzky (2010)
Social network use and personalityComput. Hum. Behav., 26
Li-Yu Liu, Zhen Shao, Weiguo Fan (2018)
The impact of users' sense of belonging on social media habit formation: Empirical evidence from social networking and microblogging websites in ChinaInt. J. Inf. Manag., 43
J. Golbeck, Cristina Robles, Karen Turner (2011)
Predicting personality with social mediaCHI '11 Extended Abstracts on Human Factors in Computing Systems
Journal of Surgical Education, 69
James McElroy, Anthony Hendrickson, A. Townsend, S. DeMarie (2007)
Dispositional Factors in Internet Use: Personality Versus Cognitive StyleMIS Q., 31
A. Poropat (2009)
A meta-analysis of the five-factor model of personality and academic performance.Psychological bulletin, 135 2
G. Storrs (1994)
A Conceptualisation of Multiparty InteractionInteract. Comput., 6
G. Bansal, F. Zahedi, D. Gefen (2016)
Do context and personality matter? Trust and privacy concerns in disclosing private information onlineInf. Manag., 53
Jeffrey Hall, Namkee Park, Hayeon Song, M. Cody (2010)
Strategic misrepresentation in online dating: The effects of gender, self-monitoring, and personality traitsJournal of Social and Personal Relationships, 27
S. Allen, M. Chorley, G. Colombo, E. Jaho, M. Karaliopoulos, I. Stavrakakis, R. Whitaker
Pervasive and Mobile Computing
R. Holte (1993)
Very Simple Classification Rules Perform Well on Most Commonly Used DatasetsMachine Learning, 11
X. Chen, Yingchun Pan, B. Guo (2016)
The influence of personality traits and social networks on the self-disclosure behavior of social network site usersInternet Res., 26
Michael Tadesse, Hongfei Lin, Bo Xu, Liang Yang (2018)
Personality Predictions Based on User Behavior on the Facebook Social Media PlatformIEEE Access, 6
A. Imran, Muhammad Faiyaz, F. Akhtar (2018)
An Enhanced Approach for Quantitative Prediction of Personality in Facebook PostsInternational Journal of Education and Management Engineering, 8
International Journal of Information Management, 64
H. Stumpf, W. Parker (2000)
A hierarchical structural analysis of perfectionism and its relation to other personality characteristicsPersonality and Individual Differences, 28
Eunsun Lee, Jungsun Ahn, Yeo Kim (2014)
Personality traits and self-presentation at FacebookPersonality and Individual Differences, 69
Namil Kim, Wonjoon Kim (2018)
Do your social media lead you to make social deal purchases? Consumer-generated social referrals for sales via social commerceInt. J. Inf. Manag., 39
Journal of Instructional Pedagogies, 3
C. Ross, Emily Orr, M. Sisic, Jaime Arseneault, Mary Simmering, R. Orr (2010)
Personality and motivations associated with Facebook use
Chia-Chen Chen, Yi-Chen Lin (2018)
What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsementTelematics Informatics, 35
Alvaro Ortigosa, R. Carro, José Quiroga (2014)
Predicting user personality by mining social interactions in FacebookJ. Comput. Syst. Sci., 80
A. Lima, L. Castro (2014)
A multi-label, semi-supervised classification approach applied to personality prediction in social mediaNeural networks : the official journal of the International Neural Network Society, 58
Entrepreneurship Research Journal, 36
Ron Kohavi, George John (1997)
Wrappers for Feature Subset SelectionArtif. Intell., 97
Tsung-Yi Chen, Meng-Che Tsai, Yuh-Min Chen (2016)
A user's personality prediction approach by mining network interaction behaviors on FacebookOnline Inf. Rev., 40
J. Edens, N. Poythress, S. Lilienfeld, C. Patrick, Amy Test (2008)
Further evidence of the divergent correlates of the Psychopathic Personality Inventory factors: prediction of institutional misconduct among male prisoners.Psychological assessment, 20 1
G. Boyle (1995)
Myers‐Briggs Type Indicator (MBTI): Some Psychometric LimitationsAustralian Psychologist, 30
Xinjiang Lu, Zhiwen Yu, Bin Guo, Xingshe Zhou (2014)
Predicting the content dissemination trends by repost behavior modeling in mobile social networksJ. Netw. Comput. Appl., 42
V. Blazevic, C. Wiertz, June Cotte, Ko Ruyter, D. Keeling (2014)
GOSIP in Cyberspace: Conceptualization and Scale Development for General Online Social Interaction PropensityJournal of Interactive Marketing, 28
Tsai-Hsuan Tsai, Hsien-Tsung Chang, Ya-Ching Chang, Yung-Sheng Chang (2017)
Personality disclosure on social network sites: An empirical examination of differences in Facebook usage behavior, profile contents and privacy settingsComput. Hum. Behav., 76
R. Karasek, Job Demands (1979)
Job decision latitude and mental strain: Implications for job redesign
Pervasive and Mobile Computing, 11
François Mairesse, M. Walker, M. Mehl, Roger Moore (2007)
Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and TextJ. Artif. Intell. Res., 30
The purposes of this paper are to (1) explore how personality traits pertaining to the dominance influence steadiness compliance model manifest themselves in terms of user interaction behavior on social media and (2) examine whether social interaction data on social media platforms can predict user personality.Design/methodology/approachSocial interaction data was collected from 198 users of Sina Weibo, a popular social media platform in China. Their personality traits were also measured via questionnaire. Machine learning techniques were applied to predict the personality traits based on the social interaction data.FindingsThe results demonstrated that the proposed classifiers had high prediction accuracy, indicating that our approach is reliable and can be used with social interaction data on social media platforms to predict user personality. “Reposting,” “being reposted,” “commenting” and “being commented on” were found to be the key interaction features that reflected Weibo users' personalities, whereas “liking” was not found to be a key feature.Originality/valueThe findings of this study are expected to enrich personality prediction research based on social media data and to provide insights into the potential of employing social media data for the purpose of personality prediction in the context of the Weibo social media platform in China.
Aslib Journal of Information Management – Emerald Publishing
Published: Oct 13, 2021
Keywords: Social interaction; Personality; DISC; Social media; Weibo
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.