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Retweet or like? That is the question

Eva Lahuerta-Otero (Department of Marketing, University of Salamanca, Salamanca, Spain)
Rebeca Cordero-Gutiérrez (Faculty of Computer Science, Pontifical University, Salamanca, Spain)
Fernando De la Prieta-Pintado (Department of Computer Science and Automation, University of Salamanca, Salamanca, Spain)

Online Information Review

ISSN: 1468-4527

Article publication date: 21 August 2018

Issue publication date: 21 August 2018

1273

Abstract

Purpose

Due to the size and importance of social media, user-generated content analysis is becoming a key factor for companies and brands across the world. By using Twitter messages’ content, the purpose of this paper is to identify which elements of the messages enable tweet diffusion and facilitate eWOM.

Design/methodology/approach

In total, 30,082 tweets collected from 10,120 Twitter users were classified based on four assorted brands. By comparing with multiple regression techniques high vs low purchase involvement and hedonic vs utilitarian products and using the theory of heuristic-systematic processing of information, the authors examine the causes of tweet diffusion.

Findings

The authors illustrate how the elements of a tweet (hashtags, mentions, links, sentiment or tweet length) influence its diffusion and popularity.

Research limitations/implications

This study validated the use of information processing theories in the social media field. The study showed a picture on how different Twitter elements influence eWOM and message diffusion under several purchase involvement situations.

Practical implications

The results of this study can help social media brand community managers of all types of companies on how to write their Twitter messages to obtain greater dissemination and popularity.

Originality/value

The study offers a unique deep brand analysis which helps brands and companies to understand their social media popularity in detail. Depending on product category, companies can achieve maximum social impact on Twitter by focusing on the interactivity items that will work best for their products or brands.

Keywords

Acknowledgements

This work was supported by the Ministry of Industry, Energy and Tourism Strategic actions of economy and society 2015. SOGESCLOUD-Máquina social auto-adaptativa para la gestión corporativa en la nube (grant number TSI-100104-2015-007) and Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad 2013-2016. Análisis de innovaciones clave en la distribución comercial minorista: sus determinantes y sus consecuencias en los hábitos de compra (ECO2014-53060-R).

Citation

Lahuerta-Otero, E., Cordero-Gutiérrez, R. and De la Prieta-Pintado, F. (2018), "Retweet or like? That is the question", Online Information Review, Vol. 42 No. 5, pp. 562-578. https://doi.org/10.1108/OIR-04-2017-0135

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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