2016
DOI: 10.1108/jcm-04-2015-1405
|View full text |Cite
|
Sign up to set email alerts
|

Decoding social media speak: developing a speech act theory research agenda

Abstract: 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… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
33
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
5
1
1

Relationship

1
6

Authors

Journals

citations
Cited by 36 publications
(33 citation statements)
references
References 63 publications
0
33
0
Order By: Relevance
“…to the audience or customers. The analysis in this study uses directive illocutionary speech acts analysis where methodologically, the main premise is text based on the assumption that the frequency of words and certain concepts in the text is a relative measure, where this is in the attention or emphasis [11]. This speech act includes orders, command, requests, and giving suggestions which can be in the form of positive and negative sentences [2].…”
Section: Research Resultsmentioning
confidence: 99%
“…to the audience or customers. The analysis in this study uses directive illocutionary speech acts analysis where methodologically, the main premise is text based on the assumption that the frequency of words and certain concepts in the text is a relative measure, where this is in the attention or emphasis [11]. This speech act includes orders, command, requests, and giving suggestions which can be in the form of positive and negative sentences [2].…”
Section: Research Resultsmentioning
confidence: 99%
“…However, the advent of SM transformed this process into two-way communication. In other words, SM platforms are tools which help both the individual and institutional users to conduct a dialogue; individuals can not only receive a message, but also respond to it instantly (Floreddu & Cabiddu, 2016;Ludwig & De Ruyter, 2016). What is more, digital consumers very often participate in the production process via SM, thus becoming a prosumer (an active consumer in the production process) (Chandler & Chen, 2015;Hofacker, Malthouse, & Sultan, 2016).…”
Section: Business Models In the Context Of Digitalizationmentioning
confidence: 99%
“…Referring to the uses and gratification theory, Whiting and Williams (2013), identified ten most common uses and gratifications of SM, which are: 'social interaction, information seeking, pass time, entertainment, relaxation, communicatory utility, convenience utility, expression of opinion, information sharing, and surveillance/knowledge about others' (p. 368). When it comes to communication, individuals use SM for various purposes and these can be divided into interpersonal and marketing communication (Floreddu & Cabiddu, 2016;Ludwig & De Ruyter, 2016). For example, communicating with friends and relatives (Cabosky, 2016); conveying information about products among their users (Chu & Kim, 2011); gathering information about products, brands, etc.…”
Section: Social Media Usage and Cross Country Perspectivementioning
confidence: 99%
See 1 more Smart Citation
“…Min(e)d your languageA key characteristic of the digital space, often attributed to platforms like Facebook, LinkedIn, and Twitter are online conversations as people communicate and interact with friends, family, colleagues, complete strangers, and, yes, businesses. Marketers have had to change the way in which they listen to the voice of the customer, as the large majority of the data is unstructured (i.e., verbatim and increasingly visual) and firms are reliant on the development of new analytical methods to decode 'social speak'(Ludwig and de Ruyter 2016). The good news is that most of the data is both more readily accessible and that the diagnosticity of these methods is superior to that of old school data collection methods, such as surveys and experimental designs.…”
mentioning
confidence: 99%