The value(s) of information on social network sites: The role of user personality traits

Gvili, Yaniv; Kol, Ofrit; Levy, Shalom

doi:10.1016/j.erap.2019.100511

Cited by 22 publications

(28 citation statements)

References 104 publications

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“…However, since openness essentially focuses on new experiences rather than relationships with others, it is expected that openness will have less influence than extraversion even if it is related to image management. addition, Gvili et al (2020) found that agreeable users seek social value when using SNSs, so it seems that agreeable people are socially oriented toward helping and cooperating with others. Second, in terms of using technology, many studies have reported a relationship between agreeableness and perceived usefulness (Devaraj et al, 2008;Punnoose, 2012).…”

Section: Openness To Experiencementioning

confidence: 99%

What Makes Consumers’ Intention to Purchase Paid Stickers in Personal Messenger? The Role of Personality and Motivational Factors

Kang¹,

Park

Shin

et al. 2022

Front. Psychol.

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Many messengers and social networking services (SNSs) use emojis and stickers as a means of communication. Stickers express individual emotions well, allowing long texts to be replaced with small pictures. As the use of stickers increased, stickers were commercialized on a few platforms and showed remarkable growth as people bought and used stickers with their favorite characters, products, or entertainers online. Depending on their personality, individuals have different motivations for using stickers that determine the usefulness and enjoyment of stickers, affecting their purchase decisions. In the present study, participants (n = 302) who were randomly recruited from a university completed an online questionnaire assessing the Big Five personality characteristics, motivations for using stickers, and the technology acceptance model (TAM). Results using partial least squares structural equation modeling (PLS-SEM) revealed that each personality trait affected different motivations for using stickers. Moreover, motivations for using stickers also influenced different technology acceptance variables. Finally, perceived usefulness, enjoyment, and ease of use had a positive effect on the intention to purchase stickers. This study has implications in that it is an exploratory approach to the intention to purchase stickers, which has been investigated by few prior studies, and it sheds light on the relationship between personality, motivation, and TAM in purchasing stickers. It also suggests that personality and motivation factors can be considered in personalized recommendation services.

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Section: Openness To Experiencementioning

confidence: 99%

What Makes Consumers’ Intention to Purchase Paid Stickers in Personal Messenger? The Role of Personality and Motivational Factors

Kang¹,

Park

Shin

et al. 2022

Front. Psychol.

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“…Our research is based on the theory that psychometric indicators of a person's personality should be reflected in individual characteristics of their content uploaded to social networks [5,6].…”

Section: Related Workmentioning

confidence: 99%

Metrics for Personal Profiles of Social Network Users

2020

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This paper discusses the technical details of obtaining and processing data to determine a set of characteristics of texts from social networks, genre preferences in movies and music genres for students of Kazan Federal University who have different academic performance (successful, average, not-successful). The selection of such characteristics is carried out using machine learning methods (Word2Vec, tSNE). The data obtained is used in the development of a functional psychometric model of cognitive behavioral predictors of an individual’s activity within the framework of their educational activities. We also developed a web application for visualizing the obtained data using the Flask engine.

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“…The five-factor personality test [ 3 ] and MBTI personality test [ 4 , 5 ] are its examples. Personality prediction can also be made using social media such as Twitter [ 6 ] and Facebook [ 7 ] data, but that is not always so accurate because the data can be fake [ 8 – 10 ].…”

Section: Introductionmentioning

confidence: 99%

EEG‐Based Personality Prediction Using Fast Fourier Transform and DeepLSTM Model

Bhardwaj

Tomar

Sakalle

et al. 2021

Computational Intelligence and Neuroscience

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In this paper, a deep long short term memory (DeepLSTM) network to classify personality traits using the electroencephalogram (EEG) signals is implemented. For this research, the Myers–Briggs Type Indicator (MBTI) model for predicting personality is used. There are four groups in MBTI, and each group consists of two traits versus each other; i.e., out of these two traits, every individual will have one personality trait in them. We have collected EEG data using a single NeuroSky MindWave Mobile 2 dry electrode unit. For data collection, 40 Hindi and English video clips were included in a standard database. All clips provoke various emotions, and data collection is focused on these emotions, as the clips include targeted, inductive scenes of personality. Fifty participants engaged in this research and willingly agreed to provide brain signals. We compared the performance of our deep learning DeepLSTM model with other state-of-the-art-based machine learning classifiers such as artificial neural network (ANN), K-nearest neighbors (KNN), LibSVM, and hybrid genetic programming (HGP). The analysis shows that, for the 10-fold partitioning method, the DeepLSTM model surpasses the other state-of-the-art models and offers a maximum classification accuracy of 96.94%. The proposed DeepLSTM model was also applied to the publicly available ASCERTAIN EEG dataset and showed an improvement over the state-of-the-art methods.

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The value(s) of information on social network sites: The role of user personality traits

Cited by 22 publications

References 104 publications

What Makes Consumers’ Intention to Purchase Paid Stickers in Personal Messenger? The Role of Personality and Motivational Factors

What Makes Consumers’ Intention to Purchase Paid Stickers in Personal Messenger? The Role of Personality and Motivational Factors

Metrics for Personal Profiles of Social Network Users

EEG‐Based Personality Prediction Using Fast Fourier Transform and DeepLSTM Model

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