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Social networking services (SNSs) have become deeply ingrained into our daily life. However, it has often been reported that users experience negative feelings regarding SNS usage. This phenomenon presents challenges for SNS providers in retaining or increasing their customer base. This study focuses on SNS fatigue, a negative psychological state that can lead to discontinuance intention among SNS users. This study proposes two distinctive SNS-specific contexts and investigates how they alleviate the negative effect of SNS fatigue on user behavior.

Drawing upon the context-specific theorization perspective, a model involving moderation effects of the SNS-specific contexts on the relationship between user's SNS fatigue and discontinuance intention was proposed. The model was tested using survey data of active SNS users.

The results indicate that SNS fatigue leads to user discontinuance intention. However, the SNS-specific contexts, such as social interaction context and platform service context, negatively moderate the relationship between SNS fatigue and user discontinuance intention.

The findings of this study are expected to help SNS providers develop strategies to improve their services for effective user retention.

Social networking sites (SNSs) offer people the possibility of maintaining larger networks of social ties, which also entails more complex relationship maintenance across multiple platforms. Whom to “friend” and via which platform can involve complex deliberations. This study investigates the relationships between users' perceived friending affordances of five popular SNSs (Facebook, Twitter, Instagram, Snapchat and LinkedIn) and their friending behaviors concerning strong ties, weak ties (existing and latent ties) and parasocial ties.

An online survey using Qualtrics was provided to participants (N = 626) through Amazon's Mechanical Turk (MTurk). The survey asked their SNS use and their friending behaviors with different ties on each of the sites.

Users' friending decisions are dependent on an interplay of socio-technical affordances of each SNS and specific needs for the ties. The authors found that the affordances of bridging social capital and enjoyment are aligned with friending weak and parasocial ties, respectively. The affordances of bonding social capital were not valued to friend strong ties.

The study extends the affordance and social capital literature by assessing users' perceived, contextualized SNS affordances in relation to actual communication behaviors in friending different social ties. This approach provides contextualized insights to friending decisions and practices on SNSs.

This paper aims to provide a social network site influence (SNSI) profile of early adopters. This study explores the relationship between personality traits of early adopters of social network sites (SNS), their propensity to share information and rumors and their general SNSI.

An online survey was sent to the first users of Twitter (n = 200) and Google+ (n = 130) to assess their personality traits. Answers of each respondent were matched to their SNSI scores from Klout and PeerIndex, the industry standard for measuring SNSI.

Early adopters of SNS, in comparison to market mavens, are more likely to exert influence on one particular topic related to their profession: technology and the internet. Their levels of extraversion, openness and conscientiousness have a positive and significant impact on information sharing, and a negative impact on rumor sharing. Both, information sharing and rumor sharing have a positive and significant impact on the general SNSI of early adopters.

Firms struggle to decide whether to invest early in the life of newly created SNS as they are unsure about the characteristics of early adopters of such networks, and, more importantly, whether these sites are effective initial vectors for word-of-mouth. The findings demonstrate that early adopters’ influence (SNSI score) is on par with that of the rest of SNS users, suggesting their influence may be somewhat limited. The study also shows that the opinion leadership impact of the more influential early adopters is monomorphic in nature, being mainly confined to the related technology and internet domains.

People's socializing behavior in social networking services (SNS) presents dramatically different features, forming differentiated online social interaction patterns (DOSIP) in SNS. This study aims to explore the relationships between users' multidimensional psychological needs and multiple social interaction patterns in SNS.

Based on Maslow's hierarchy of needs and use and gratifications (U&G) theory, the authors develop the research model to examine the effects of psychological needs on DOSIP. A survey is used to collect the data of SNS users' social interaction. The authors adopt structural equation modeling–neural network (SEM-NN) integrated method to examine the research model.

Need to belong, need for self-esteem, need for social contact, need for emotional expression, need for cognition, and need for external-esteem have significant influences on both active and passive social interactions respectively.

Based on the categorization of DOSIP into six types in terms of the level of activity and disclosure of social interaction, the authors construct an integrated research model of multidimensional psychological needs to multiple social interaction patterns, and validate the antecedents of DOSIP from the perspective of psychological needs.