Predicting the Big Five for social network users using their personality characteristics

Hassanein, Mariam; Rady, Sherine; Hussein, Wedad; Gharib, Tarek F.

doi:10.1109/icicis52592.2021.9694160

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…Asghar used Bidirectional LSTM to classify psychopath vs non-psychopath classes (Asghar et al, 2021). Hassanein predicts dark triad personality based on social media traits using the Linear Regression method with a net regularizer, Normal Linear Regression, Logistic Regression, and ensemble learning (Random Forest) (Hassanein et al, 2021). Using two machine learning methods, namely Naïve Bayes and Support Vector Machine, Haz divides Spanish Twitter posts into groups based on whether the content is narcissistic or not (Haz et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Prediction of Narcissistic Behavior on Indonesian Twitter Using Machine Learning Methods

Ummah

2023

Brilliance

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Social media's explosive expansion in recent years has changed people's behavior, leading to an increase in narcissistic tendencies. Arrogance, the need to flaunt one's accomplishments, the urge to get approval from others, and excessive dreams about success, power, intelligence, attractiveness, and other attributes are characteristics of narcissistic behavior. Social media has evolved into a platform for showcasing accomplishments, particularly for people with narcissistic tendencies. Moreover, narcissistic trait is one of the three characteristics of the dark triad personality type. Several research have demonstrated that a variety of machine learning techniques can be used to predict dark triad personality traits and narcissism from social media posts. As some studies have suggested, this narcissistic behavior can further increase the level of cyberbullying in social media, while also have strong correlation with the use of chatbot for academic cheating. This research aims to build a prediction model for behavioral symptoms of narcissism based on posts on Twitter in Indonesian language, using the natural language processing technique and several basic machine learning methods (Nearest Neighbors, Naïve Bayes, Decision Tree, and Support Vector Machine), and then compare the results. We concluded that SVM model achieved the best performance, with Accuracy = 0.72 and F1 Score = 0.725.

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Section: Literature Reviewmentioning

confidence: 99%

Prediction of Narcissistic Behavior on Indonesian Twitter Using Machine Learning Methods

Ummah

2023

Brilliance

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Methods of social network texts analysis for a psychometric model of personal behavior

Prokopyev,

Ustin,

Gafarov

et al. 2024

BIO Web Conf.

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The development of technologies for predicting personality behavior is one of the priority directions for improving the diagnostic apparatus of psychology. The integration of information technologies, mathematical methods and big data processing capabilities into the methodology of psychological research makes it possible to build and test formal psychometric models for their further use in creating software systems that can predict personal behavior. This paper presents a description of methods and technologies for qualitative analysis of social network texts used in the development of algorithms for predicting personality behavior types as part of the creation of a psychological model of the subject's behavior in the digital environment. Anonymized dataset was collected based on psychological survey on “Dark Triad” for students and their profiles on the VK social network as initial data for the analysis. Then were identified several cognitive behavioral predictors in form of most commonly used lexicon and themes, that are typical for persons with different levels of “Dark Triad” characteristics. The obtained results can later be used in training neural network models to predict personal behavior.

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A research attempt to predict and model personalities through users' social media details

Goyal

Tawde

2022

2022 IEEE Bombay Section Signature Conference (IBSSC)

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Predicting the Big Five for social network users using their personality characteristics

Cited by 4 publications

References 11 publications

Prediction of Narcissistic Behavior on Indonesian Twitter Using Machine Learning Methods

Prediction of Narcissistic Behavior on Indonesian Twitter Using Machine Learning Methods

Methods of social network texts analysis for a psychometric model of personal behavior

A research attempt to predict and model personalities through users' social media details

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