A psychologically-inspired fuzzy-based approach for user personality prediction in rumor propagation across social networks

2021 ◽  
pp. 1-15
Author(s):  
V. Indu ◽  
Sabu M. Thampi
Keyword(s):  
Social Networks ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Common People ◽  
Rumor Propagation ◽  
Usage Patterns ◽  
User Personality ◽  
Personality Prediction ◽  
High Degree

Social networks have emerged as a fertile ground for the spread of rumors and misinformation in recent times. The increased rate of social networking owes to the popularity of social networks among the common people and user personality has been considered as a principal component in predicting individuals’ social media usage patterns. Several studies have been conducted to study the psychological factors influencing the social network usage of people but only a few works have explored the relationship between the user’s personality and their orientation to spread rumors. This research aims to investigate the effect of personality on rumor spread on social networks. In this work, we propose a psychologically-inspired fuzzy-based approach grounded on the Five-Factor Model of behavioral theory to analyze the behavior of people who are highly involved in rumor diffusion and categorize users into the susceptible and resistant group, based on their inclination towards rumor sharing. We conducted our experiments in almost 825 individuals who shared rumor tweets on Twitter related to five different events. Our study ratifies the truth that the personality traits of individuals play a significant role in rumor dissemination and the experimental results prove that users exhibiting a high degree of agreeableness trait are more engaged in rumor sharing activities and the users high in extraversion and openness trait restrain themselves from rumor propagation.

scholarly journals A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
J. A. Camilleri ◽  
S. B. Eickhoff ◽  
S. Weis ◽  
J. Chen ◽  
J. Amunts ◽  
...  
Keyword(s):  
Machine Learning ◽  
Executive Function ◽  
Executive Functioning ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Function System ◽  
Learning Approach ◽  
Psychometric Data ◽  
Machine Learning Approach

AbstractWhile a replicability crisis has shaken psychological sciences, the replicability of multivariate approaches for psychometric data factorization has received little attention. In particular, Exploratory Factor Analysis (EFA) is frequently promoted as the gold standard in psychological sciences. However, the application of EFA to executive functioning, a core concept in psychology and cognitive neuroscience, has led to divergent conceptual models. This heterogeneity severely limits the generalizability and replicability of findings. To tackle this issue, in this study, we propose to capitalize on a machine learning approach, OPNMF (Orthonormal Projective Non-Negative Factorization), and leverage internal cross-validation to promote generalizability to an independent dataset. We examined its application on the scores of 334 adults at the Delis–Kaplan Executive Function System (D-KEFS), while comparing to standard EFA and Principal Component Analysis (PCA). We further evaluated the replicability of the derived factorization across specific gender and age subsamples. Overall, OPNMF and PCA both converge towards a two-factor model as the best data-fit model. The derived factorization suggests a division between low-level and high-level executive functioning measures, a model further supported in subsamples. In contrast, EFA, highlighted a five-factor model which reflects the segregation of the D-KEFS battery into its main tasks while still clustering higher-level tasks together. However, this model was poorly supported in the subsamples. Thus, the parsimonious two-factors model revealed by OPNMF encompasses the more complex factorization yielded by EFA while enjoying higher generalizability. Hence, OPNMF provides a conceptually meaningful, technically robust, and generalizable factorization for psychometric tools.

scholarly journals Internal Consistency and Structural Validity of the Norwegian Translation of the Ten-Item Personality Inventory

2021 ◽  
Vol 12 ◽  
Author(s):  
Mikkel Magnus Thørrisen ◽  
Talieh Sadeghi ◽  
Jannecke Wiers-Jenssen
Keyword(s):  
Psychometric Properties ◽  
Internal Consistency ◽  
Factor Model ◽  
Rank Order ◽  
Five Factor Model ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Personality Inventory ◽  
Structural Validity ◽  
Cross Sectional

Background: The Ten-Item Personality Inventory (TIPI) is a validated brief instrument measuring the five-factor model (FFM) personality dimensions, developed for instances where more comprehensive FFM instruments are impractical to use. The TIPI has been translated into several languages, but psychometric properties of the Norwegian version (N-TIPI) have not been systematically explored.Objectives: This study aimed to explore the psychometric properties of the N-TIPI, in terms of internal consistency and structural validity.Methods: In a cross-sectional study, responses on the N-TIPI were collected from 5,009 Norwegian master graduates. Descriptive statistics for the subscales and correlations between subscales were calculated. Internal consistency was assessed with inter-item correlations, Cronbach’s α and Spearman-Brown coefficients. Structural validity was explored with principal component analysis, parallel analysis, and visual scree plot inspection. Results for the N-TIPI were compared with those previously reported for the original TIPI as well as the German, French, Spanish, and Portuguese versions.Results: Compared with the original and non-English versions of TIPI, results for N-TIPI showed comparable subscale rank order of means, standard deviations, and pattern of correlations between subscales, as well as inter-item correlations and Cronbach’s α. The 10 N-TIPI items were adequately reduced to five components, theoretically corresponding with the FFM personality domains.Conclusion: The N-TIPI demonstrated acceptable internal consistency and satisfactory structural validity. Although further research is warranted, the instrument stands out as feasible when it is essential to minimize participants’ response burden in studies that aim to explore personality as one among several concepts or utilize personality traits as covariates.

How do personality traits affect communication among users in online social networks?

2014 ◽  
Vol 38 (1) ◽  
pp. 136-153 ◽  
Author(s):  
Jose Maria Balmaceda ◽  
Silvia Schiaffino ◽  
Daniela Godoy
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Personality Traits ◽  
Online Social Networks ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Dimensions ◽  
Content Type ◽  
Wide Range ◽  
Similarity Attraction

Purpose – The purpose of this work is to analyse the relationships between the personality traits of linked users in online social networks. First the authors tried to discover relation patterns between personality dimensions in conversations. They also wanted to verify some hypotheses: whether users' personality is stable throughout different conversation threads and whether the similarity-attraction paradigm can be verified in this context. They used the five factor model of personality or Big Five, which has been widely studied in psychology. Design/methodology/approach – One of the approaches to detect users' personalities is by analysing the language they use when they talk to others. Based on this assumption the authors computed users' personality from the conversations extracted from the MySpace social network. Then the authors analysed the relationships among personality traits of users to discover patterns. Findings – The authors found that there are patterns between some personality dimensions in conversation threads, for example, agreeable people tend to communicate with extroverted people. They confirmed that the personality stability theory can be verified in social networks. Finally the authors could verify the similarity-attraction paradigm for some values of personality traits, such as extroversion, agreeableness, and openness to experience. Originality/value – The results the authors found provide some clues about how people communicate within online social networks, particularly who they tend to communicate with depending on their personality. The discovered patterns can be used in a wide range of applications, such as suggesting contacts in online social networks. Although some studies have been made regarding the role of personality in social media, no similar analysis has been done to evaluate how users communicate in social media considering their personality.

DEVELOPMENT OF A CHINESE VERSION OF THE ZUCKERMAN-KUHLMAN PERSONALITY QUESTIONNAIRE: RELIABILITIES AND GENDER/AGE EFFECTS

2000 ◽  
Vol 28 (3) ◽  
pp. 241-250 ◽  
Author(s):  
Yi -Xiao Wu ◽  
Wei Wang ◽  
Wu -Ying Du ◽  
Jing Li ◽  
Xiao-Fe n g Jiang ◽  
...  
Keyword(s):  
Sensation Seeking ◽  
Chinese Culture ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
The United States ◽  
Personality Questionnaire ◽  
Wide Range ◽  
Scale Scores ◽  
And Gender

A five-factor model of the Zuckerman-Kuhlman Personality Questionnaire (ZKPQ) was tried in a Chinese speaking area. Three hundred and thirty-three healthy subjects (217 women and 116 men) with a wide range of occupations attended this study and were divided into 5 age ranges. They were free of depression and answered with low dissimulation in ZKPQ. The principal component analysis detected 16 factors with eigenvalues larger than 1.5, the first 5 of which accounted for 21.0% of the variance. The five-factor solution analysis was, therefore, performed. The alpha internal reliabilities of the five personality scales ranged from 0.61 to 0.81. Sixty-one out of 89 items loaded larger than, or equal to, 0.3 on target factors. Scale scores were comparable to those reported in the United States, and the intercorrelations between five personality scales were lower. Gender and education level had little effect on the personality measures; the Impulsive Sensation Seeking declined with age only from 20 years on, in women. This study demonstrates the validity of the ZKPQ in Chinese culture.

The Five-Factor Model of personality and Degree and Transitivity of Facebook social networks

2014 ◽  
Vol 50 ◽  
pp. 98-101 ◽  
Author(s):  
Jan-Erik Lönnqvist ◽  
Juha V.A. Itkonen ◽  
Markku Verkasalo ◽  
Panu Poutvaara
Keyword(s):  
Social Networks ◽  
Factor Model ◽  
Five Factor Model

scholarly journals World Trade Center Exposure and Posttraumatic Growth: Assessing Positive Psychological Change 15 Years after 9/11

2020 ◽  
Vol 18 (1) ◽  
pp. 104
Author(s):  
Cristina D. Pollari ◽  
Jennifer Brite ◽  
Robert M. Brackbill ◽  
Lisa M. Gargano ◽  
Shane W. Adams ◽  
...  
Keyword(s):  
Posttraumatic Growth ◽  
Factor Structure ◽  
Factor Model ◽  
Five Factor Model ◽  
Terrorist Attack ◽  
Principal Component ◽  
Well Being ◽  
Exposure Level ◽  
Linear Regression Models ◽  
Very High

We evaluated the presence of posttraumatic growth (PTG) among survivors of the 9/11 terrorist attack and how indicators of psychosocial well-being, direct 9/11-related exposure, and posttraumatic stress symptoms (PTSS) relate to PTG. PTG was examined among 4934 participants using the Posttraumatic Growth Inventory (PTGI). A confirmatory factor analysis (CFA) was conducted to determine if the original factor structure of the PTGI fits our data and principal component analysis (PCA) to identify the appropriate factor structure. Multivariable linear regression models were used to examine the association between PTG and indicators of psychosocial well-being, 9/11-related exposure, and PTSS, controlling for covariates. CFA identified a two-factor structure of the PTGI as a better fit than the original five-factor model. Participants who experienced very high 9/11-related exposure level (ß = 7.72; 95% CI: 5.75–9.70), higher PTSS at waves 1 (ß = 0.13; 95% CI: 0.08–0.18) and 2 (ß = 0.09; 95% CI: 0.05–0.14), high social integration (ß = 5.71; 95% CI: 4.47, 6.96), greater social support (ß = 0.49; 95% CI: 0.37, 0.61), and higher self-efficacy (ß = 1.26; 95% CI: 1.04, 1.48) had higher PTGI scores. Our findings suggest PTG is present, 15 years following the 9/11 terrorist attack. Very high-level 9/11 exposure, PTSS, and indicators of psychosocial well-being were associated with PTG.

scholarly journals Validasi Big Five Inventory-2 (BFI-2) untuk Indonesia: Belum sempurna tetapi valid dan reliabel mengukur kepribadian

2021 ◽  
Author(s):  
Awaludin Ahya ◽  
Ide Bagus Siaputra
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Big Five ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Big Five Inventory ◽  
Confirmatory Factor ◽  
Bahasa Indonesia

Big Five Inventory-2 (BFI-2) merupakan versi terbaru dari alat ukur kepribadian menurut kerangka teori five factor model. Penelitian ini bertujuan untuk mereplikasi pengujian validitas BFI-2 pada versi Bahasa Indonesia. Uji validitas terkait struktur internal dilakukan menggunakan Principal Component Analysis (PCA) dan Confirmatory Factor Analysis (CFA), sedangkan validitas konvergen melalui korelasi dengan skor BFI-1. Responden adalah 853 mahasiswa dari beberapa Perguruan Tinggi Negeri dan Swasta di Sumatra Utara dan Jawa Timur. Pengumpulan data secara online menggunakan Google Form. Hasil analisis PCA menunjukkan sebanyak 50 butir (83%) BFI-2 versi Indonesia memiliki muatan faktor memadai terhadap dimensi terkait. Hasil analisis CFA pada model level faset memiliki indeks fit yang lebih baik daripada level dimensi, artinya temuan ini mendukung model pengukuran faset pada BFI-2 Indonesia. Kelima dimensi BFI-2 Indonesia memiliki korelasi positif dengan dimensi BFI-1 pada tingkat moderat, sehingga temuan ini menunjukkan bahwa BFI-2 Indonesia terbukti konvergen dengan BFI-1.

Psychometric Properties of the Parent-Rated SDQ in Preschoolers

2013 ◽  
Vol 29 (2) ◽  
pp. 96-104 ◽  
Author(s):  
Annette M. Klein ◽  
Yvonne Otto ◽  
Sandra Fuchs ◽  
Markus Zenger ◽  
Kai von Klitzing
Keyword(s):  
Psychometric Properties ◽  
Parental Education ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Preschool Age ◽  
Emotional Symptoms ◽  
Factor Solution ◽  
Confirmatory Factor Analyses ◽  
Three Factor

The Strengths and Difficulties Questionnaire (SDQ) is an internationally recognized and widely used screening instrument consisting of 25 items that address positive and negative behavioral attributes of children and adolescents. This paper investigates some of the psychometric properties of the German parent-rated SDQ examining preschool-age children. The sample consisted of 1,738 children – 840 girls and 898 boys – between 3 and 5 years of age. Parents completed the SDQ and gave basic demographical information. All subscales were sufficiently homogeneous. Principal component analysis suggested both a five-factor solution (replicating the original five-factor structure) and a three-factor solution. Confirmatory factor analyses showed a better fit for the five-factor model than for the three-factor model. A comparison between the preschool sample and the German normative sample revealed differences in some subscales. Furthermore, there were gender differences in almost all subscales, with boys showing significantly higher problem scores than girls (except for emotional symptoms) and lower scores on the prosocial behavior scale. Parental education proved to be associated with SDQ scores. This study confirmed that the parent-rated SDQ is a reliable and useful instrument for preschoolers and is recommended for screening purposes.

scholarly journals Self-Esteem and Locus of Causality as Vulnerability Factors for the Development of Actual/Ideal Self-Discrepancies in Late Childhood

2017 ◽  
Vol 26 (1) ◽  
pp. 241-259
Author(s):  
Lisa Di Blas ◽  
Annunziata Cepollaro
Keyword(s):  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Well Being ◽  
Self Esteem ◽  
Repeated Measure ◽  
Late Childhood ◽  
Ideal Self ◽  
Locus Of Causality ◽  
Perceived Locus Of Control

Self-discrepancies influence psychological well-being and self-acceptance across several domains. Middle to late childhood is a critical age for the development of self-discrepancies (SD). The present study was aimed at investigating antecedents of actual/ideal self-discrepancies in 9- to 11-year-old children by adopting a repeated measure design, with two measurement occasions. At the baseline (T1), children (N=261) completed a self-esteem questionnaire, a measure of actual/ideal SDs we developed around the Five Factor Model domains, and the Strengths and Difficulties Questionnaire; 4 months later (T2) a subsample (N=96) provided self-ratings again. Children's parents (N=195) referred on their own feelings towards their children along the Profile of Mood States as well as on their perceived locus of control of their children's undesirable behaviors; a subsample of parents (N=80) provided ratings again 4 months later. Principal component analyses from children's self-discrepancies at T1 yielded four domains: Intellect, Emotional Stability, Impulse Control, and Sociability. Self-rated discrepancies across time were moderately stable. Concurrently, higher SDs in Intellect were associated with lower children's self-esteem. Cross-lagged pattern analyses showed that lower self-esteem predicted increases in children's SDs, but not vice versa; in addition, change levels in SDs were correlated with change levels in self-esteem. Parents' perceived internal locus of causality of their children's undesirable behaviors also accounted for changes in children's SDs. Parents' feelings of depression accounted for increases in girls' SDs. The present findings further support the association between self-esteem and SDs, indicate the direction of association across time, and suggest possible mechanisms by which parents affect the development of the children's self-views.

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