Social network site use and Big Five personality traits: A meta-analysis

Huang, Chiungjung

doi:10.1016/j.chb.2019.03.009

Cited by 65 publications

(44 citation statements)

References 68 publications

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“…In the last decade, researchers examined whether the Big Five predict social media outcomes (see Huang, 2019;Liu & Campbell, 2017 for reviews). However, prior research did not specify the context of the Big Five to predict social media outcomes.…”

Section: Predictive Validitymentioning

confidence: 99%

“…Previous research found that the personality traits known as the "Big Five" (openness, conscientiousness, extraversion, agreeableness, and neuroticism; John et al, 2008) are significant predictors of social media outcomes such as time spent on social media and motivations to use social media (see Huang, 2019;Liu & Campbell, 2017 for reviews). However, almost all of the studies on this topic assessed the Big Five without specifying the situational context of measurement.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Do the offline and social media Big Five have the same dimensional structure, mean levels, and predictive validity of social media outcomes?

Bunker¹,

Kwan²

2021

Cyberpsychology

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Prior studies found that the Big Five personality traits are significant predictors of social media outcomes, but they did not specify the situational context of the Big Five. The assumption is that people have the same personality on social media as offline. The present research addressed whether the Big Five are the same on social media as offline in terms of dimensional structure, mean levels, and predictive validity of social media outcomes. Across two samples, 943 college students completed measures of social media outcomes and two versions of the Big Five Inventory-2 adapted from Soto and John (2017), specifying offline and social media contexts. Findings revealed that all of the five dimensions emerged in both contexts, except that a few items might not apply well to the social media context. The mean levels of all five traits were significantly different between contexts, suggesting that the dimensional structure of the offline and social media Big Five are similar but peoples’ levels of expression of the Big Five are not the same between these contexts. Conscientiousness and extraversion were the least similar dimensions out of the five between the contexts. There were also differences in predictive validity between the offline and social media Big Five showing that heavier social media users are more open, conscientious, and extraverted on social media, whereas they are lower on these traits offline. Consequently, studying offline and social media contexts separately and jointly is critical for understanding how the Big Five predict social media outcomes.

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Section: Predictive Validitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Do the offline and social media Big Five have the same dimensional structure, mean levels, and predictive validity of social media outcomes?

Bunker¹,

Kwan²

2021

Cyberpsychology

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“…The appearance of all new investigations in the context of psychological investigations updated the necessity for their systematization and generalization. Also surfacing, were some works analyzing the existing literature on empirical investigations, aimed at the identification of the status and characteristics of a user as a participant of online community (Gillath, Karantzas & Lee, 2019;Huang, 2019;Malinen, 2015). So, Malinen (2015) demonstrated in his investigation that that a theoretical and conceptual framework for user participation remains undefined, despite the vast research conducted on the subject, which has mostly addressed participation in terms of its quantity, having updated the necessity for further systematization and the analysis of cyber communication literature.…”

Section: Cyber Communicationmentioning

confidence: 99%

Dynamic characteristics of students’ communicative behavior in social networks

Никишина

Sokolskaya

Musatova

et al. 2021

WJET

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Dynamic characteristics of social networks users' behavior represent the toolkit for diagnosing the character and orientation of cyber communication. This study aims to analyze the communicative behavior of youth after transitioning directly from direct communication to communication via technology for the purpose of defining opportunities and determining manipulation potential on communicants. Sixty-two (62) active participants of social networks were selected to answer the questions of the questionnaire. Further, on the grounds of the provided statistics of their accounts, quantitative characteristics of dynamics of cyber communication of participants' communicative behavior were analyzed using descriptive statistics and r-criterion of Spearman rank correlation. From the results, decrease in the level of intellectual communication of the youth in cyberspace provides a high level of the youth manipulative availability in social networks. Hypotheses about measurability of dynamic characteristics of cyber communication, as well as the communication vector shift from small groups into big ones were confirmed. Keywords: dynamic characteristics of communication, cyber communication, social networks, meme, repost, post.

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“…Meta-analyses also frequently examine issues related to specific technologies, such as the web, social media, e-commerce and m-commerce ( k = 14; e.g. Huang, 2019; Song et al , 2014), and knowledge management and e-learning technologies ( k = 11; e.g. Chen et al , 2018; Scherer et al , 2020).…”

Section: Number Domains and Publication Outlets Of Meta-analyses In Ismentioning

confidence: 99%

Meta-analysis in information systems research: method choices and recommendations for future research

Blut

2020

IMDS

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PurposeThe use of meta-analysis in information systems (IS) research has increased. Because this research domain has matured and an increasing number of empirical studies have become available, meta-analysis is now perceived as a useful approach to synthesize an increasing body of empirical research. The present paper gives an overview of meta-analytical techniques, the evolution of meta-analysis in IS, the focus of these studies and method choices made by authors.Design/methodology/approachThis overview is based on 100 meta-analysis studies published in IS journals. These meta-analytical studies synthesize data from 6,262 empirical studies, and the meta-analyses were published between 1989 and 2020. The studies were coded with regard to 16 major method choices that IS researchers made when conducting meta-analyses.FindingsThis overview describes the key areas of meta-analysis (e.g. strategy and firm performance) and the journals that publish the meta-analysis. This overview also identifies method issues where meta-analyses have improved in recent years as well as issues that require some attention. Scholars receive guidance about good practices in terms of 16 major method choices related to (1) problem formulation, (2) literature search, (3) coding information, (4) analyzing and integrating effect sizes and (5) interpreting results and reporting findings.Originality/valueAddressing the identified method issues helps authors of future meta-analyses to increase the transparency of reporting and the likelihood of getting published. The substantive findings of a meta-analysis also often depend on researchers' method choices. Similar overviews exist for other disciplines, such as marketing and management.

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Social network site use and Big Five personality traits: A meta-analysis

Cited by 65 publications

References 68 publications

Do the offline and social media Big Five have the same dimensional structure, mean levels, and predictive validity of social media outcomes?

Do the offline and social media Big Five have the same dimensional structure, mean levels, and predictive validity of social media outcomes?

Dynamic characteristics of students’ communicative behavior in social networks

Meta-analysis in information systems research: method choices and recommendations for future research

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