Abstract

AbstractBrand posts are concise and recurrent updates created by brands and sent out to their followers on social media. Brand posts play a crucial linking role by connecting brands to their customers and fans on a daily basis. Brand posts represent a rich form of communication that convey various brand meaning and experiences using multiple media formats. Despite this, however, brand posts have not been subjected to formalized analyses in the literature. Accordingly, the purpose of this study is to conduct a formalized analysis of brand posts and propose a systematic framework to categorize them. With this aim, the study performed qualitative content analysis involving three interrelated coding procedures. First, the study reviewed the relevant literature to identify pre-existing coding categories (deductive coding). Second, the study drew together systematic inferences from a purposive sample of brand posts (n = 371) to derive new coding categories (inductive coding). Finally, the study implemented a do...

Highlights

  • Social media represent web-based and mobile interactive applications that support user-generated content and real-time interactions based on friendship or overlapping interests (Kaplan & Haenlein, 2010)

  • The proposed categorization offers a comprehensive framework to think about brand posts

  • Two of the authors involved in this study reviewed the advertising and the social media literature to identify pre-existing coding categories for brand posts

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Summary

Introduction

Social media represent web-based and mobile interactive applications that support user-generated content and real-time interactions based on friendship or overlapping interests (Kaplan & Haenlein, 2010). Social media enable users to create personalized profiles, present themselves publicly and interact with other users along dyadic and network ties (Berthon, Pitt, Plangger, & Shapiro, 2012; Peters, Chen, Kaplan, Ognibeni, & Pauwels, 2013). Due to their mass appeal and network externality, social media platforms such as Facebook, YouTube and LinkedIn have experienced exponential growth in their user base (Kietzmann, Hermkens, McCarthy, & Silvestre, 2011; Lin & Lu, 2011). Brand posts are largely analyzed and classified in an ad hoc manner

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