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INDIVIDUAL RETWEETING BEHAVIOR ON SOCIAL NETWORKING SITES IBD

GANG CHEN / JUAN SHI / KIN KEUNG LAI
SPRINGER
09 / 2020
9789811573750
Inglés

Sinopsis

This book explores and analyzes influential predictors and the underlying mechanisms of individual content sharing/retweeting behavior on social networking sites (SNS) from an empirical perspective. Since Individual content sharing/ retweeting behavior expedites information dissemination, it is a critical mechanism of information diffusion on Twitter.ááIndividual sharing/retweeting behavior does not appear to happen randomly. So, what factors lead to individual information dissemination behavior? What are the dominating predictors? How does the recipient make retweeting decisions? How do these influential predictors combine and by what mechanism do they influence an individualâÇÖs retweeting decisions? Furthermore, are there any differences in the process of individual retweeting decisions? If so, what causes such differences?áIn order to answer these previously unexplored questions and gain a holistic view of individual retweeting behavior, the authors examined peopleâÇÖs retweeting history on Twitter and obtained a real dataset containing more than 60 million Twitter posts. They then employed text mining and natural language processing techniques to extract useful information from social media content, and used various feature selection methods to identify a subset of salient features that have substantial effects on individual retweeting behavior. Lastly, they applied the Elaboration Likelihood Model to build an overarching theoretical framework to reveal the underlying mechanisms of individual retweeting behavior. Given its scope, this book will appeal to researchers interested in investigating information dissemination on social media, as well as to marketers and administrators who plan to use social networking sites as an important avenue for information dissemination.