Name: Individual Retweeting Behavior on Social Networking Sites: A Study on Individual Information Disseminating Behavior on Social Networking Sites (en Inglés)
Price: 500.60 PEN
Availability: InStock
Author: Shi, Juan ; Lai, Kin Keung ; Chen, Gang
ISBN: 9789811573781

portada Individual Retweeting Behavior on Social Networking Sites: A Study on Individual Information Disseminating Behavior on Social Networking Sites (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

132

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 0.8 cm

Peso

0.22 kg.

ISBN13

9789811573781

Categorías

Estudios sobre medios
Psicología

Individual Retweeting Behavior on Social Networking Sites: A Study on Individual Information Disseminating Behavior on Social Networking Sites (en Inglés)

Gang Chen (Autor) · Kin Keung Lai (Autor) · Juan Shi (Autor) · Springer · Tapa Blanda

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Reseña del libro "Individual Retweeting Behavior on Social Networking Sites: A Study on Individual Information Disseminating Behavior on Social Networking Sites (en Inglés)"

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. Individual 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 individual's retweeting decisions? Furthermore, are there any differences in the process of individual retweeting decisions? If so, what causes such differences? In order to answer these previously unexplored questions and gain a holistic view of individual retweeting behavior, the authors examined people's 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.