Proceedings ArticleDOI
Our Twitter Profiles, Our Selves: Predicting Personality with Twitter
Daniele Quercia,Michal Kosinski,David Stillwell,Jon Crowcroft +3 more
- pp 180-185
TLDR
It is argued that being able to predict user personality goes well beyond the initial goal of informing the design of new personalized applications as it, for example, expands current studies on privacy in social media.Abstract:
Psychological personality has been shown to affect a variety of aspects: preferences for interaction styles in the digital world and for music genres, for example Consequently, the design of personalized user interfaces and music recommender systems might benefit from understanding the relationship between personality and use of social media Since there has not been a study between personality and use of Twitter at large, we set out to analyze the relationship between personality and different types of Twitter users, including popular users and influentials For 335 users, we gather personality data, analyze it, and find that both popular users and influentials are extroverts and emotionally stable (low in the trait of Neuroticism) Interestingly, we also find that popular users are `imaginative' (high in Openness), while influentials tend to be `organized' (high in Conscientiousness) We then show a way of accurately predicting a user's personality simply based on three counts publicly available on profiles: following, followers, and listed counts Knowing these three quantities about an active user, one can predict the user's five personality traits with a root-mean-squared error below 088 on a $[1,5]$ scale Based on these promising results, we argue that being able to predict user personality goes well beyond our initial goal of informing the design of new personalized applications as it, for example, expands current studies on privacy in social mediaread more
Citations
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Journal ArticleDOI
Die Verbreitung von Internet-Memes: empirische Befunde zur Diffusion von Bild-Sprache-Texten in den sozialen Medien
Michael Johann,Lars Bülow +1 more
TL;DR: In this article, a quantitative Inhaltsanalyse der Tweets zum Merkel-Meme (n = 3253) durchgefuhrt is presented, which zeichn sich vor allem durch dichte Vernetzung innerhalb des sozialen Systems Twitter aus.
Book ChapterDOI
Exploring Demographics and Personality Traits in Recommendation System to Address Cold Start Problem
TL;DR: A hybrid method has been proposed that combines personality traits using myPersonality application created by Facebook and the demographic characteristics into the traditional rating-based similarity computation.
Journal ArticleDOI
An Enhanced Approach for Quantitative Prediction of Personality in Facebook Posts
TL;DR: In-house tool that defines personality in terms of psychological model of Big-5 personality traits including extraversion, neuroticism, agreeableness, openness and conscientiousness is developed, intended to predict personality from roman English posts in future.
Book ChapterDOI
Acquisition of Personality
TL;DR: This chapter provides an overview of the methods that can be used to automatically acquire information about an individual’s personality and the methods of extracting the cues used to detect personality, as well as the major findings.
References
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Book
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Oliver P. John,Sanjay Srivastava +1 more
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Journal ArticleDOI
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Journal ArticleDOI
The international personality item pool and the future of public-domain personality measures ☆
Lewis R. Goldberg,John A. Johnson,Herbert W. Eber,Robert Hogan,Michael C. Ashton,C. Robert Cloninger,Harrison G. Gough +6 more
TL;DR: The International Personality Item Pool (IPIP) as mentioned in this paper has been used as a prototype for public-domain personality measures, focusing on the International personality item pool, which has been widely used for personality measurement.
Journal ArticleDOI
The longitudinal course of marital quality and stability: A review of theory, methods, and research.
TL;DR: A model is outlined that integrates the strengths of previous theories of marriage, accounts for established findings, and indicates new directions for research on how marriages change.
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