Intensity of Facebook use: a personality-based perspective on dependency formation

Schyff, Karl van der; Kruger, Hendrik G.; Flowerday, Stephen; Patel, Nikitha

doi:10.1080/0144929x.2020.1800095

Cited by 9 publications

(6 citation statements)

References 87 publications

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“…To assess the influence of social network user profile characteristics on models predicting scores for each of the Big Five test scales 50 , level of Logical thinking 51 and verbal intelligence 52 we applied one of the methods of explainable artificial intelligence to trained models (integrated gradient method 53 ). Figure 1 presents the results of evaluating the most influential features from the features category of activity.…”

Section: Resultsmentioning

confidence: 99%

Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data

Panfilova,

Turdakov

2024

Sci Rep

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This study utilizes advanced artificial intelligence techniques to analyze the social media behavior of 1358 users on VK, the largest Russian online social networking service. The analysis comprises 753,252 posts and reposts, combined with Big Five personality traits test results, as well as assessments of verbal and fluid intelligence. The objective of this research is to understand the manifestation of psychological attributes in social media users' behavior and determine their implications on user-interaction models. We employ the integrated gradients method to identify the most influential feature groups. The partial dependence plot technique aids in understanding how these features function across varying severity degrees of the predicted trait. To evaluate feature stability within the models, we cluster calculated Shapley values. Our findings suggest that the emotional tone (joy, surprise, anger, fear) of posts significantly influences the prediction of three personality traits: Extraversion, Agreeableness, and Openness to Experience. Additionally, user social engagement metrics (such as friend count, subscribers, likes, views, and comments) correlate directly with the predicted level of Logical thinking. We also observe a trend towards provocative and socially reprehensible content among users with high Neuroticism levels. The theme of religion demonstrates a multidirectional relationship with Consciousness and Agreeableness. Further findings, including an analysis of post frequency and key text characteristics, are also discussed, contributing to our understanding of the complex interplay between social media behavior and psychological traits. The study proposes a transition from the analysis of correlations between psychological (cognitive) traits to the analysis of indicators of behavior in a social network that are significant for diagnostic models of the corresponding traits.

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Section: Resultsmentioning

confidence: 99%

Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data

Panfilova,

Turdakov

2024

Sci Rep

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“…Social media platforms can be understood as public spaces where people share their information and experiences for one of several reasons, including self-presentation, to signal or gain status and to maintain relationships with others (Dwivedi et al , 2021; Fudurić, 2021). In addition, individuals can receive immediate feedback on their social media self-presentation, which can, in turn, be used by consumers to construct or present a virtual self that aligns with the social standards of the online space (Van der Schyff et al , 2022; Kedzior et al , 2016).…”

Section: Review Of the Literaturementioning

confidence: 99%

Social media “stars” vs “the ordinary” me: influencer marketing and the role of self-discrepancies, perceived homophily, authenticity, self-acceptance and mindfulness

Shehzala,

Jaiswal,

Vemireddy

et al. 2024

EJM

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Purpose Social media influencers have become constant companions of a large audience of young consumers, but a crucial yet underexplored area of examination relates to the implications of exposure to influencers for an individual’s self-concept. This study aims to examine if and how individuals experience self-discrepancies when exposed to influencers and the impact of such discrepancies on their affect, cognition and behaviors toward the influencers and the brands they endorse. Design/methodology/approach The authors thematically analyze 17 semistructured interviews, develop a conceptual model and present a set of hypotheses. The hypotheses are tested by analyzing survey data from 503 respondents using structural equation modeling. Findings Individuals actively engage in comparisons with influencers’ virtual self-presentation and treat them as emblematic of an ideal self. The associated self-discrepancy can lead to both negative and positive affect, but while the latter has a positive impact on e-word of mouth (WOM) and purchase intent, the former has a negative impact. Perceived homophily dampens the impact of exposure to influencer content on discrepancy and strengthens the link between discrepancy and positive affect. Self-acceptance and mindfulness positively moderate the impact of discrepancy on positive affect and negatively on negative affect. Perceived authenticity strengthens the impact of positive affect on e-WOM and dampens the impact of negative affect on purchase intention. Research limitations/implications The authors contribute to the literature on self-discrepancies by identifying a consumer context where, in addition to the theoretically predicted negative affect, an individual may experience more positive emotions like feeling motivated or inspired because of the perceived attainability of an influencer as an ideal self. The authors contribute to the influencer marketing literature by examining the influencer–follower relationship and its implications for an individual’s self-concept, including the role played by perceived homophily and authenticity. The authors also contribute to the literature on consumer well-being and identify the role of self-acceptance and mindfulness in shaping consumer experiences. Practical implications The authors provide a nuanced analysis of the impact of influencer marketing on consumer behavior with a focus on its impact on an individual’s self-concept. The authors argue for the role of perceived homophily and authenticity in shaping favorable consumer behavior outcomes and offer evidence for more inclusive approaches to marketing. Originality/value The authors identify the influencer–follower relationship as a unique social exchange where the source of self-discrepancy is also a homophilic solution provider for achieving one’s ideal self and report both positive and negative effects as outcomes of experiencing a self-discrepancy induced by a target perceived as more attainable. The authors situate understandings of perceived homophily and authenticity along these relationships and identify self-acceptance and mindfulness as mechanisms used by individuals to deal with discrepancies.

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“…Third, the variation in the pairwise correlations implies that individual dispositions should be aligned with the assigned tasks to optimize employee performance (Palmer et al, 2019;van der Schyff et al, 2020). For instance, in the case of an information technology company, open employees could be assigned to test newly developed ICTs and work using recently introduced ICTs, such as data analytics, machine learning, big data, and cloud technology, whereas low scorers on the 'openness' could be assigned to work on conventional technologies such as traditional database management using MS SQL, Microsoft Word, and Microsoft Excel.…”

Section: Managerial Implicationsmentioning

confidence: 99%

How Big Five Personality Traits affect Information and Communication Technology Use: A Meta-Analysis

Joshi

Das

Sekar

2023

AJIS

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This study performed a meta-analysis of forty-eight studies to synthesize existing literature examining the relationship between ‘Big Five’ personality traits and the use of various Information and Communication Technologies (ICTs). We conducted sub-group analysis to investigate the potential moderators on the relationship between personality and ICT use. The results largely reveal that the ‘Big Five’ personality traits are significantly associated with the use of various ICTs. Specifically, ‘extroversion’ showed the strongest association with social networking, along with business and commerce-based ICTs, while ‘openness’ had the highest correlations with career and education, and information-based ICTs. The results also identified technology type, region of the country, and voluntariness as potential moderators. This paper offers theoretical and practical implications that researchers could embrace in enhancing understanding of traits-technology fit, and technology providers in improving crafting, marketing, and delivering technology at the individual, organizational, national, and global levels.

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Intensity of Facebook use: a personality-based perspective on dependency formation

Cited by 9 publications

References 87 publications

Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data

Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data

Social media “stars” vs “the ordinary” me: influencer marketing and the role of self-discrepancies, perceived homophily, authenticity, self-acceptance and mindfulness

How Big Five Personality Traits affect Information and Communication Technology Use: A Meta-Analysis

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