Network matters: An examination of the direct and mediated influences of network size and heterogeneity on WeChat fatigue

Zhou, Beifan; Yu, Tian

doi:10.1016/j.chb.2022.107489

Cited by 12 publications

(8 citation statements)

References 101 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly to the study by Krasnova et al, this study has been fundamental in shaping theories of social media use and the factors that shape self-disclosure on SNS (e.g., Hollenbaugh, 2021;Masur, 2018;Trepte, 2020). Cited more than 700 times, it continues to serve as justification for a variety of audience networkrelated hypotheses (e.g., Zhou & Tian, 2023). Among other things, the study is mostly interpreted as providing evidence against Hogan's (2010) lowest common denominator approach, suggesting that users do not necessarily minimize their disclosure to align with all possible audiences, but rather disclose more with increasing network size and diversity, while actively managing access to these disclosures via privacy settings.…”

Section: The Original Studies and Their Findingsmentioning

confidence: 92%

Privacy Calculus, Privacy Paradox, and Context Collapse: A Replication of Three Key Studies in Communication Privacy Research

Masur,

Ranzini

2024

Preprint

View full text Add to dashboard Cite

Since the advent of social network sites (SNS), researchers have investigated how and why users share personal information online. Yet, the replicability of individual findings remains unclear. We addressed this gap by closely replicating three seminal studies: Krasnova et al.’s (2010) study on the privacy calculus, Vitak’s (2012) analysis of the impact of context collapse, and Dienlin and Trepte’s (2015) investigation of the privacy paradox. While only 32.5% of the original effects replicated exactly across the three studies, 67.5% were significant and in line with the original direction. Despite overall replication success, the prominent negative privacy concerns and self-disclosure link did not replicate and became positive instead. Additional specification curve analyses revealed that the strength of this relationship is contingent on a variety of analytical decisions. The findings offer insights into the replicability of survey-based privacy research, highlighting the role of replication in a dynamic research landscape.

show abstract

Section: The Original Studies and Their Findingsmentioning

confidence: 92%

Privacy Calculus, Privacy Paradox, and Context Collapse: A Replication of Three Key Studies in Communication Privacy Research

Masur,

Ranzini

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…, 2020; Tugtekin et al. , 2020; Zhou and Tian, 2023). However, existing studies have primarily focused on the net effects of either overloads (Lee et al.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…On one hand, four main types of overloads-perceived social overload, communication overload, information overload, and system feature overloadcan induce SNS fatigue (Fu and Li, 2022;Lee et al, 2016;Yu et al, 2018;Zhang et al, 2016). On the other hand, FoMO is also an important precursor to various overloads in different studies (Al-Jallad and Radwan, 2021;Hattingh et al, 2022;Lin et al, 2020;Tugtekin et al, 2020;Zhou and Tian, 2023). However, existing studies have primarily focused on the net effects of either overloads (Lee et al, 2016;Xiao et al, 2019;Zhang et al, 2016) or FoMO (Dhir et al, 2018;Koban et al, 2022;Tsai et al, 2019) on SNS fatigue using SEM and MRA, and have seldom considered the interplay of overload and FoMO in explaining SNS fatigue from a configurational perspective.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Disentangling user fatigue in WeChat use: the configurational interplay of fear of missing out and overload

Zhang,

Li,

et al. 2024

INTR

View full text Add to dashboard Cite

PurposeThe purpose of this study is to examine how the interplay of stressor (e.g. fear of missing out, FoMO) and strains (e.g. perceived social overload, communication overload, information overload and system feature overload) in social networking sites (SNS) use can contribute to users’ SNS fatigue from a configurational view.Design/methodology/approachData were collected among 363 SNS users in China via an online survey, and fuzzy-set qualitative comparative analysis (fsQCA) was applied in this study to scrutinize the different combinations of FoMO and overload that contribute to the same outcome of SNS fatigue.FindingsSix combinations of casual conditions were identified to underlie SNS fatigue. The results showed that FoMO, perceived information overload and system feature overload are the core conditions that contribute to SNS fatigue when combined with other types of overloads.Originality/valueThe current work supplements the research findings on SNS fatigue by identifying the configurations contributing to SNS fatigue from the joint effects of stressor (FoMO) and strain (perceived social overload, communication overload, information overload and system feature overload) and by providing explanations for SNS fatigue from the configurational perspective.

show abstract

“…For example, Facebook, the world's largest social networking site, has seen a shrinking user base in recent years (Cao and Sun, 2018). Similar to Facebook in the US, WeChat, China's most popular social networking site (Chen et al, 2021), has also experienced a slowdown in user growth (Zhou and Tian, 2023).…”

Section: Introductionmentioning

confidence: 99%

Measuring users’ psychological self-withdrawal on mobile social media: the development of a context dependent instrument

Chen,

2024

Front. Psychol.

View full text Add to dashboard Cite

IntroductionMSM users have many concerns when disclosing information, such as role conflicts and privacy risks, which can result in nondisclosure. We call these negative feelings associated with MSM use “psychological self-withdrawal” (PSW).MethodsUsing a mixed-methods design, this study develops and validates an instrument for measuring PSW in the WeChat context, based on focus-group interviews (seven participants), one-on-one interviews (eight participants), and a survey of 1200 WeChat users.ResultsThe result shows that PSW measure is a four-item instrument designed to measure PSW in the WeChat context. The results of two exploratory factor analysis pilot tests (n = 91 and n = 81) and a final confirmatory factor analysis test (n = 1200) indicate that the PSW measure has good internal consistency (α = 0.839), factorial validity, and a single-factor structure.DiscussionThe study defines PSW as “users’ series of negative feelings when using WeChat” and develops and validates an PSW measurement, using focus groups, interviews, and a survey. A four-item PSW with acceptable reliability and validity was finally developed.

show abstract

Network matters: An examination of the direct and mediated influences of network size and heterogeneity on WeChat fatigue

Cited by 12 publications

References 101 publications

Privacy Calculus, Privacy Paradox, and Context Collapse: A Replication of Three Key Studies in Communication Privacy Research

Privacy Calculus, Privacy Paradox, and Context Collapse: A Replication of Three Key Studies in Communication Privacy Research

Disentangling user fatigue in WeChat use: the configurational interplay of fear of missing out and overload

Measuring users’ psychological self-withdrawal on mobile social media: the development of a context dependent instrument

Contact Info

Product

Resources

About