Why Do People Choose Different Social Media Platforms? Linking Use Motives With Social Media Affordances and Personalities

Chen, Meng; Peng, Altman Yuzhu

doi:10.1177/08944393211049120

Cited by 23 publications

(15 citation statements)

References 81 publications

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“…As a result, relatively little is known about the composition of and behavior on smaller but widely-used platforms. Given heterogeneous user bases, community structures, platform affordances, algorithmic designs, and content policies, it remains unclear the extent to which research on one platform generalizes to others (Chen and Peng, 2023;Shahbaznezhad et al, 2021). This lack of quantitative data with which to measure other platforms limits our understanding of the digital media ecosystem as a whole, especially as evidence suggests patterns of platform usage are splintering across demographic groups (Krishnan, 2023;Auxier and Anderson, 2021).…”

Section: Abstract: Social Media Online Discourse Social Capital Local...mentioning

confidence: 99%

Digital town square? Nextdoor's offline contexts and online discourse

Brown,

Sanderson,

Graham

et al. 2024

JQD

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There is scant quantitative research describing Nextdoor, the world's largest and most important hyperlocal social media network. Due to its localized structure, Nextdoor data are notoriously difficult to collect and work with. We build multiple datasets that allow us to generate descriptive analyses of the platform's offline contexts and online content. We first create a comprehensive dataset of all Nextdoor neighborhoods joined with U.S. Census data, which we analyze at the community-level (block-group). Our findings suggests that Nextdoor is primarily used in communities where the populations are whiter, more educated, more likely to own a home, and with higher levels of average income, potentially impacting the platform's ability to create new opportunities for social capital formation and citizen engagement. At the same time, Nextdoor neighborhoods are more likely to have active government agency accounts---and law enforcement agencies in particular---where offline communities are more urban, have larger nonwhite populations, greater income inequality, and higher average home values. We then build a convenience sample of 30 Nextdoor neighborhoods, for which we collect daily posts and comments appearing in the feed (115,716 posts and 163,903 comments), as well as associated metadata. Among the accounts for which we collected posts and comments, posts seeking or offering services were the most frequent, while those reporting potentially suspicious people or activities received the highest average number of comments. Taken together, our study describes the ecosystem of and discussion on Nextdoor, as well as introduces data for quantitatively studying the platform.

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Section: Abstract: Social Media Online Discourse Social Capital Local...mentioning

confidence: 99%

Digital town square? Nextdoor's offline contexts and online discourse

Brown,

Sanderson,

Graham

et al. 2024

JQD

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“…Social interaction is the reciprocal interaction between individuals (Chen & Peng, 2023; Wang & Chiang, 2009). For example, when consumers ask sellers questions, they can get feedback from sellers.…”

Section: Literature Review and Research Frameworkmentioning

confidence: 99%

Exploring Customer Citizenship Behavior in Social Commerce From the Parasocial Perspective

Men,

Zheng,

Shan

et al. 2023

Social Science Computer Review

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Attention on customer citizenship behavior (CCB) has increased markedly in recent years for both researchers and practitioners. However, existing research lacks deep understanding of the antecedents of CCB in social commerce, especially from the perspective of seller-consumer interaction relationships. Drawing on complexity theory, this study investigated the impacts of the causal configurations of three types of seller-consumer interaction relationships (experience of parasocial interaction (PSI), social interaction, and parasocial relationship (PSR)) on CCB in social commerce. To test this proposition, this study adopted fuzzy-set qualitative comparative analysis (fsQCA) on a sample of 380 experienced social commerce consumers. Our findings indicate that the combination of social interaction and PSR leads to a high CCB among social commerce consumers. Moreover, borrowing from social exchange theory, we further employed partial least squares structural equation modeling (PLS-SEM) to reanalyze the research data. The PLS-SEM results are consistent with the fsQCA results.

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“…Additionally, persistence and information richness are two features that are frequently discussed on the most popular social media platforms, like TikTok and Instagram. The findings by Chen and Peng [7] suggest that these platforms might be especially appealing to open-minded and narcissistic individuals. Based on each platform's distinct features and the particular goals it prioritizes, different personalities may be drawn to different platforms [7].…”

Section: Social Media Influence Personalitymentioning

confidence: 99%

“…The findings by Chen and Peng [7] suggest that these platforms might be especially appealing to open-minded and narcissistic individuals. Based on each platform's distinct features and the particular goals it prioritizes, different personalities may be drawn to different platforms [7].…”

Section: Social Media Influence Personalitymentioning

confidence: 99%

Relationship Between Social Media Use and Personality

2023

LNEP

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In recent years, more and more individuals take a lot of time on social media. There is growing concern over the possible impacts of using social media on an individual's personality. This article examines how social media use and personality are related, as well as the variables that affect this relationship. The Big Five personality model is primarily used to investigate this relationship, with extroverted and open individuals found to use social media more frequently. Additionally, histrionic personality traits and female gender have been positively linked to social media addiction. The type of social media used can also impact personality, with Facebook potentially aiding individuals with low levels of satisfaction and self-esteem to build social capital. Other factors, such as sex, region, and social isolation, are also explored in relation to social media use and personality. Understanding the relationship between the two is crucial for assessing potential effects on individuals and informing interventions. Future research should examine how social media use and personality traits differ among different age groups and different culture. Also, how social media addiction develops over time and how it affects individuals' lives are essential to study.

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Why Do People Choose Different Social Media Platforms? Linking Use Motives With Social Media Affordances and Personalities

Cited by 23 publications

References 81 publications

Digital town square? Nextdoor's offline contexts and online discourse

Digital town square? Nextdoor's offline contexts and online discourse

Exploring Customer Citizenship Behavior in Social Commerce From the Parasocial Perspective

Relationship Between Social Media Use and Personality

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