This is the accepted version of the paper.This version of the publication may differ from the final published version. Purpose-Drawing on the theoretical domain of speech act theory and a discussion of its suitability for setting the agenda for social media research, this study explores a range of research directions that are both relevant and conceptually robust, to stimulate the advancement of knowledge and understanding of online verbatim data.
Permanent repository link:Design/methodology/approach-Examining previously published cross-disciplinary research, the study identifies how recent conceptual and empirical advances in speech act theory may further guide the development of text analytics in a social media context.Findings-Decoding content and function word use in customers' social media communication can enhance the efficiency of determining (1) potential impacts of customer reviews, (2) sentiment strength, (3) the quality of contributions in social media, (4) customers' socialization perceptions in online communities, and (5) deceptive messages.Originality/value-Considering the variety of managerial demand, increasing and diverging social media formats, expanding archives, rapid development of software tools, and fastpaced market changes, this study provides an urgently needed, theory-driven, coherent 2 research agenda to guide the conceptual development of text analytics in a social media context.
Keywords-Social media communication, Text mining, Speech act theoryPaper type-Conceptual paper "Language is the currency of most human social processes." (Chung and Pennebaker, 2007 p.343) The past decade has witnessed an incredible increase in the volume and importance of online social media conversations. Spanning virtually all ages, ethnicities, and geographies, the spectacular rise of websites such as Facebook, LinkedIn, and Twitter is revolutionizing the way people communicate and interact with friends, family, colleagues, complete strangers, and businesses. The increasing prevalence and accessibility of social media communication and online discussions, together with their powerful influence on purchase decisions and product/service evaluations, have become central driving forces for marketing decision makers (Bharadwaj et al., 2013). Sixty percent of Facebook users comment directly on the products and service they purchase (Incite, 2011), and 72% of consumers expect brands to respond within an hour to complaints posted on Twitter (Gesenhus 2013). Business performance in turn are suffering, as a result of companies' inability to decipher and analyse conversations with and among their online customers (Bonnet and Nandan, 2011).Considering the scale and scope of company-relevant exchanges, it is pertinent that marketers monitor, join, and come to grips with efforts to decode "social media speak." Therefore the Following a brief introduction to this linguistic theory and its suitability for setting the research agenda, we explore a range of research directions that are both relevant and conceptually rob...