Journal ArticleDOI
Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis
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TLDR
Results show that the predictive power of digital footprints over personality traits is in line with the standard “correlational upper-limit” for behavior to predict personality, with correlations ranging from 0.29 (Agreeableness) to 0.40 (Extraversion).About:
This article is published in Personality and Individual Differences.The article was published on 2018-04-01. It has received 270 citations till now. The article focuses on the topics: Digital footprint & Agreeableness.read more
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Proceedings Article
Predicting the form and direction of work role performance from the Big 5 model of personality traits
TL;DR: In this article, the authors examined the prediction of the form and direction of work role performance from the Big 5 model of personality traits and found that conscientiousness was a stronger predictor of individual task proficiency than the remaining eight dimensions, whereas the reverse was true for neuroticism.
Journal ArticleDOI
Recommender Systems Leveraging Multimedia Content
TL;DR: A thorough review of the state-of-the-art of recommender systems that leverage multimedia content is presented, by classifying the reviewed papers with respect to their media type, the techniques employed to extract and represent their content features, and the recommendation algorithm.
Journal ArticleDOI
Moral Foundations Twitter Corpus: A Collection of 35k Tweets Annotated for Moral Sentiment:
Joe Hoover,Gwenyth Portillo-Wightman,Leigh Yeh,Shreya Havaldar,Aida Mostafazadeh Davani,Ying Lin,Brendan F. Kennedy,Mohammad Atari,Zahra Kamel,Madelyn Mendlen,Gabriela Moreno,Christina Park,Tingyee E. Chang,Jenna Chin,Christian Leong,Jun Yen Leung,Arineh Mirinjian,Morteza Dehghani +17 more
TL;DR: The Moral Foundations Twitter Corpus is introduced, a collection of 35,108 tweets that have been curated from seven distinct domains of discourse and hand annotated by at least three trained annotators for 10 categories of moral sentiment.
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Why do people spread false information online? The effects of message and viewer characteristics on self-reported likelihood of sharing social media disinformation.
TL;DR: This paper explored the effect of message attributes (authoritativeness of source, consensus indicators), viewer characteristics (digital literacy, personality, and demographic variables) and their interaction (consistency between message and recipient beliefs) on self-reported likelihood of spreading examples of disinformation.
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A new agenda for personality psychology in the digital age
Christian Montag,Jon D. Elhai +1 more
TL;DR: In this paper, the authors hypothesize how research in personality psychology will change with the recent emergence of the Internet of Things (IoT), in which manifold data from human-machine-interaction can be used to predict psychological traits and states.
References
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Sue Duval,Richard L. Tweedie +1 more
TL;DR: In this paper, a rank-based data augmentation technique is proposed for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome.
The Big Five Trait taxonomy: History, measurement, and theoretical perspectives.
Oliver P. John,Sanjay Srivastava +1 more
TL;DR: The Big Five taxonomy as discussed by the authors is a taxonomy of personality dimensions derived from analyses of the natural language terms people use to describe themselves 3 and others, and it has been used for personality assessment.
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The file drawer problem and tolerance for null results
TL;DR: Quantitative procedures for computing the tolerance for filed and future null results are reported and illustrated, and the implications are discussed.
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A very brief measure of the Big-Five personality domains
TL;DR: In this paper, a 10-item measure of the Big-Five personality dimensions is proposed for situations where very short measures are needed, personality is not the primary topic of interest, or researchers can tolerate the somewhat diminished psychometric properties associated with very brief measures.