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2020 | OriginalPaper | Buchkapitel

5. Direct Effect and Mediating Effect of Individual Retweeting Behavior on SNS

verfasst von : Juan Shi, Kin Keung Lai, Gang Chen

Erschienen in: Individual Retweeting Behavior on Social Networking Sites

Verlag: Springer Singapore

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Abstract

In order to systematically explain individual information dissemination behavior on SNS, Chap. 3 proposes an overarching theoretical model to examine an individual’s retweeting decision making process, which is illustrated in Fig. 3.​1. This conceptual model mainly consists of two parts: determinants of individual retweeting behavior (\(H1 \sim H8\)) and moderators of individual retweeting behavior (\(H9 \sim H11\)). This chapter focuses on validating the first part presented in Fig. 5.1 and next chapter will examine the moderating factors. Regression results in this chapter show that both the central route and the peripheral route have significant impacts on individual retweeting decisions. Among them, topical relevance, social tie strength and value homophily are the most important ones, followed by information richness(#URL, #hashtag), #mention and informational social influence. Author-related factors such as source trustworthiness have trivial impacts. Existing studies about the impacts of the relationships between the source and the receiver on the receiver’s information retweeting behavior are still controversial. In this chapter, we propose and validate that social tie strength partially mediates the effect of value homophily on individual retweeting behavior, which offers at least one explanation for the contradictory findings about the effect of homophily on individual sharing behavior in previous research.

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Fußnoten
1
STATA 14.0 is the statistical software used in this study.
 
2
The condition number is a commonly used index of the global instability of the regression coefficients—a large condition number, 10 or more, is an indication of instability.
 
3
The panel logit is preferred over the panel probit because there is no fixed effects model for the panel probit.
 
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Metadaten
Titel
Direct Effect and Mediating Effect of Individual Retweeting Behavior on SNS
verfasst von
Juan Shi
Kin Keung Lai
Gang Chen
Copyright-Jahr
2020
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-7376-7_5